response.plot2: Function for for plotting predicted responses from species...
In biomod2: Ensemble Platform for Species Distribution Modeling
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Adaptation of the Evaluation Strip method proposed by Elith et al.(2005). This function enables to plot the response curves of a model independently of the algorithm used for
building the model. It therefore permits a direct comparison of predicted responses from the different statistical approaches on the same data.
Usage
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Arguments
models
a character vector specifying the models for which the response curves have to be plotted. Compatible with GAM, GBM, GLM, ANN, CTA, RF, FDA, MARS and MAXENT.
Data
a dataframe containing the variables for which the response curves have to be plotted. They must have the same names as the ones used to calibrate the model. RasterStack are also supported.
show.variables
the names or the column numbers of 'Data' for selecting the variables to be plotted. By default all columns are taken
do.bivariate
'logical', if FALSE (default), the predicted response curves are plotted for every singe variable independently (2-D dimension). If TRUE, the predicted response curves are represented in 3-D for all pairs of variables
fixed.var.metric
either 'mean' (default), 'median', 'min' or 'max' specifying the statistic used to fix as constant the remaining variables when the predicted response is estimated for one of the variables
save.file
can be set to "pdf", "jpeg" or "tiff" to save the plot. Pdf options can be changed by setting the default values of pdf.options().
name
the name of the file produced if save.file is different to "no" (extensions are already included)
ImageSize
the size of the image in pixels if save.file is different to "no". Affects "jpeg" and "tiff" outputs only. Default if 480 pixels which is the R default.
plot
if TRUE (the default) then a plot is produced
...
further arguments :
data_species : vector containing data species occurances. Have to match with Data. If given, the statistic used to fix variables value will be calculated only over presences points. (Considered only if Data is under table format)
col : vector of colors to be used (only for univariate case)
lty : vector of lines types to be used
main : character, the title of the graph (default one based on first model class is automatically produced if not refered)
display_title : logical, display or not graph title
legend : logical, add legend to plot (only for univariate case)
Details
For building the predicted response curves, n-1 variables are set constant to a fixed value (mean, median, min or max i.e fixed.var.metric arg) and only the remaining one (resp. 2 for 3D response plot) is varying across its whole range (given by Data). n the case of categorical variable, the most represented class is taken. The variations observed and the curve thus obtained shows the sensibility of the model to that specific variable. This method does not account for interactions between variables.
In the evaluation strip initially proposed by Elith et al. 2005 the remaining variables are set to the mean.
Value
a 4D array is returned. It contains the necessary outputs to produce the plots. This is useful to make your own custom response plot graphics.
Array returned structure :
First dimension: the dimension of the predictions
Second dimension: 2 or 3 columns: The first one (resp. the first two) is (are) the explanatory variable(s) to plot, the last one, the probability of occurrence
Third dimension: The set of environmental variables for which the response.plot was asked to run.
Fourth dimension: the selected models
Author(s)
Wilfried Thuiller, Damien Georgs
References
Elith, J., Ferrier, S., Huettmann, FALSE. & Leathwick, J. R. 2005 The evaluation strip: A new and robust method for plotting
predicted responses from species distribution models. Ecological Modelling 186, 280-289.
See Also
Examples
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## Not run:
# species occurrences
DataSpecies <- read.csv(system.file("external/species/mammals_table.csv",
package="biomod2"), row.names = 1)
head(DataSpecies)
# the name of studied species
myRespName <- 'VulpesVulpes'
# the presence/absences data for our species
myResp <- as.numeric(DataSpecies[,myRespName])
# the XY coordinates of species data
myRespXY <- DataSpecies[,c("X_WGS84","Y_WGS84")]
# Environmental variables extracted from BIOCLIM (bio_3, bio_4, bio_7, bio_11 & bio_12)
myExpl = raster::stack( system.file( "external/bioclim/current/bio3.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio4.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio7.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio11.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio12.grd",
package="biomod2"))
# 1. Formatting Data
myBiomodData <- BIOMOD_FormatingData(resp.var = myResp,
expl.var = myExpl,
resp.xy = myRespXY,
resp.name = myRespName)
# 2. Defining Models Options using default options.
myBiomodOption <- BIOMOD_ModelingOptions()
# 3. Doing Modelisation
myBiomodModelOut <- BIOMOD_Modeling( myBiomodData,
models = c('RF','GLM'),
models.options = myBiomodOption,
NbRunEval=2,
DataSplit=80,
Prevalence=0.5,
VarImport=0,
models.eval.meth = c('TSS'),
SaveObj = TRUE,
do.full.models=FALSE)
# 4. Plot response curves
# 4.1 Load the models for which we want to extract the predicted response curves
myGLMs <- BIOMOD_LoadModels(myBiomodModelOut, models='GLM')
# 4.2 plot 2D response plots
myRespPlot2D <- response.plot2(models = myGLMs,
Data = get_formal_data(myBiomodModelOut,'expl.var'),
show.variables= get_formal_data(myBiomodModelOut,'expl.var.names'),
do.bivariate = FALSE,
fixed.var.metric = 'median',
col = c("blue", "red"),
legend = TRUE,
data_species = get_formal_data(myBiomodModelOut,'resp.var'))
# 4.2 plot 3D response plots
## here only for a lone model (i.e "VulpesVulpes_PA1_AllData_GLM")
myRespPlot3D <- response.plot2(models = myGLMs[1],
Data = get_formal_data(myBiomodModelOut,'expl.var'),
show.variables= get_formal_data(myBiomodModelOut,'expl.var.names'),
do.bivariate = TRUE,
fixed.var.metric = 'median',
data_species = get_formal_data(myBiomodModelOut,'resp.var'),
display_title=FALSE)
### all the values used to produce this plot are stored into the returned object
### you can redo plots by yourself and customised them
dim(myRespPlot2D)
dimnames(myRespPlot2D)
dim(myRespPlot3D)
dimnames(myRespPlot3D)
## End(Not run)
Example output
biomod2 3.4.6 loaded.
Type browseVignettes(package='biomod2') to access directly biomod2 vignettes.
X_WGS84 Y_WGS84 ConnochaetesGnou GuloGulo PantheraOnca PteropusGiganteus
1 -94.5 82.00001 0 0 0 0
2 -91.5 82.00001 0 1 0 0
3 -88.5 82.00001 0 1 0 0
4 -85.5 82.00001 0 1 0 0
5 -82.5 82.00001 0 1 0 0
6 -79.5 82.00001 0 1 0 0
TenrecEcaudatus VulpesVulpes
1 0 0
2 0 0
3 0 0
4 0 0
5 0 0
6 0 0
-=-=-=-=-=-=-=-=-=-=-=-=-= VulpesVulpes Data Formating -=-=-=-=-=-=-=-=-=-=-=-=-=
> No pseudo absences selection !
! No data has been set aside for modeling evaluation
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Done -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Loading required library...
Checking Models arguments...
Creating suitable Workdir...
> Automatic weights creation to rise a 0.5 prevalence
-=-=-=-=-=-=-=-=-=-=-=-= VulpesVulpes Modeling Summary -=-=-=-=-=-=-=-=-=-=-=-=
5 environmental variables ( bio3 bio4 bio7 bio11 bio12 )
Number of evaluation repetitions : 2
Models selected : RF GLM
Total number of model runs : 4
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
-=-=-=- Run : VulpesVulpes_AllData
-=-=-=--=-=-=- VulpesVulpes_AllData_RUN1
Model=Breiman and Cutler's random forests for classification and regressionError : cannot allocate vector of size 15.2 Mb
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'object' in selecting a method for function 'predict': object 'model.bm' not found
*** inherits(g.pred,'try-error')
! Note : VulpesVulpes_AllData_RUN1_RF failed!
Model=GLM ( quadratic with no interaction )
Stepwise procedure using AIC criteria
selected formula : VulpesVulpes ~ bio7 + bio3 + bio11 + bio12 + bio4
<environment: 0x56071b1eb100>
Evaluating Model stuff...
-=-=-=--=-=-=- VulpesVulpes_AllData_RUN2
Model=Breiman and Cutler's random forests for classification and regressionError : cannot allocate vector of size 15.2 Mb
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'object' in selecting a method for function 'predict': object 'model.bm' not found
*** inherits(g.pred,'try-error')
! Note : VulpesVulpes_AllData_RUN2_RF failed!
Model=GLM ( quadratic with no interaction )
Stepwise procedure using AIC criteria
selected formula : VulpesVulpes ~ bio7 + bio3 + bio11 + bio12 + bio4
<environment: 0x56071b127890>
Evaluating Model stuff...
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Done -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
[1] 1000 5
[[1]]
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
[11] "11" "12" "13" "14" "15" "16" "17" "18" "19" "20"
[21] "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40"
[41] "41" "42" "43" "44" "45" "46" "47" "48" "49" "50"
[51] "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70"
[71] "71" "72" "73" "74" "75" "76" "77" "78" "79" "80"
[81] "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
[91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100"
[101] "101" "102" "103" "104" "105" "106" "107" "108" "109" "110"
[111] "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
[121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130"
[131] "131" "132" "133" "134" "135" "136" "137" "138" "139" "140"
[141] "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
[151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160"
[161] "161" "162" "163" "164" "165" "166" "167" "168" "169" "170"
[171] "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
[181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190"
[191] "191" "192" "193" "194" "195" "196" "197" "198" "199" "200"
[201] "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"
[211] "211" "212" "213" "214" "215" "216" "217" "218" "219" "220"
[221] "221" "222" "223" "224" "225" "226" "227" "228" "229" "230"
[231] "231" "232" "233" "234" "235" "236" "237" "238" "239" "240"
[241] "241" "242" "243" "244" "245" "246" "247" "248" "249" "250"
[251] "251" "252" "253" "254" "255" "256" "257" "258" "259" "260"
[261] "261" "262" "263" "264" "265" "266" "267" "268" "269" "270"
[271] "271" "272" "273" "274" "275" "276" "277" "278" "279" "280"
[281] "281" "282" "283" "284" "285" "286" "287" "288" "289" "290"
[291] "291" "292" "293" "294" "295" "296" "297" "298" "299" "300"
[301] "301" "302" "303" "304" "305" "306" "307" "308" "309" "310"
[311] "311" "312" "313" "314" "315" "316" "317" "318" "319" "320"
[321] "321" "322" "323" "324" "325" "326" "327" "328" "329" "330"
[331] "331" "332" "333" "334" "335" "336" "337" "338" "339" "340"
[341] "341" "342" "343" "344" "345" "346" "347" "348" "349" "350"
[351] "351" "352" "353" "354" "355" "356" "357" "358" "359" "360"
[361] "361" "362" "363" "364" "365" "366" "367" "368" "369" "370"
[371] "371" "372" "373" "374" "375" "376" "377" "378" "379" "380"
[381] "381" "382" "383" "384" "385" "386" "387" "388" "389" "390"
[391] "391" "392" "393" "394" "395" "396" "397" "398" "399" "400"
[401] "401" "402" "403" "404" "405" "406" "407" "408" "409" "410"
[411] "411" "412" "413" "414" "415" "416" "417" "418" "419" "420"
[421] "421" "422" "423" "424" "425" "426" "427" "428" "429" "430"
[431] "431" "432" "433" "434" "435" "436" "437" "438" "439" "440"
[441] "441" "442" "443" "444" "445" "446" "447" "448" "449" "450"
[451] "451" "452" "453" "454" "455" "456" "457" "458" "459" "460"
[461] "461" "462" "463" "464" "465" "466" "467" "468" "469" "470"
[471] "471" "472" "473" "474" "475" "476" "477" "478" "479" "480"
[481] "481" "482" "483" "484" "485" "486" "487" "488" "489" "490"
[491] "491" "492" "493" "494" "495" "496" "497" "498" "499" "500"
[501] "501" "502" "503" "504" "505" "506" "507" "508" "509" "510"
[511] "511" "512" "513" "514" "515" "516" "517" "518" "519" "520"
[521] "521" "522" "523" "524" "525" "526" "527" "528" "529" "530"
[531] "531" "532" "533" "534" "535" "536" "537" "538" "539" "540"
[541] "541" "542" "543" "544" "545" "546" "547" "548" "549" "550"
[551] "551" "552" "553" "554" "555" "556" "557" "558" "559" "560"
[561] "561" "562" "563" "564" "565" "566" "567" "568" "569" "570"
[571] "571" "572" "573" "574" "575" "576" "577" "578" "579" "580"
[581] "581" "582" "583" "584" "585" "586" "587" "588" "589" "590"
[591] "591" "592" "593" "594" "595" "596" "597" "598" "599" "600"
[601] "601" "602" "603" "604" "605" "606" "607" "608" "609" "610"
[611] "611" "612" "613" "614" "615" "616" "617" "618" "619" "620"
[621] "621" "622" "623" "624" "625" "626" "627" "628" "629" "630"
[631] "631" "632" "633" "634" "635" "636" "637" "638" "639" "640"
[641] "641" "642" "643" "644" "645" "646" "647" "648" "649" "650"
[651] "651" "652" "653" "654" "655" "656" "657" "658" "659" "660"
[661] "661" "662" "663" "664" "665" "666" "667" "668" "669" "670"
[671] "671" "672" "673" "674" "675" "676" "677" "678" "679" "680"
[681] "681" "682" "683" "684" "685" "686" "687" "688" "689" "690"
[691] "691" "692" "693" "694" "695" "696" "697" "698" "699" "700"
[701] "701" "702" "703" "704" "705" "706" "707" "708" "709" "710"
[711] "711" "712" "713" "714" "715" "716" "717" "718" "719" "720"
[721] "721" "722" "723" "724" "725" "726" "727" "728" "729" "730"
[731] "731" "732" "733" "734" "735" "736" "737" "738" "739" "740"
[741] "741" "742" "743" "744" "745" "746" "747" "748" "749" "750"
[751] "751" "752" "753" "754" "755" "756" "757" "758" "759" "760"
[761] "761" "762" "763" "764" "765" "766" "767" "768" "769" "770"
[771] "771" "772" "773" "774" "775" "776" "777" "778" "779" "780"
[781] "781" "782" "783" "784" "785" "786" "787" "788" "789" "790"
[791] "791" "792" "793" "794" "795" "796" "797" "798" "799" "800"
[801] "801" "802" "803" "804" "805" "806" "807" "808" "809" "810"
[811] "811" "812" "813" "814" "815" "816" "817" "818" "819" "820"
[821] "821" "822" "823" "824" "825" "826" "827" "828" "829" "830"
[831] "831" "832" "833" "834" "835" "836" "837" "838" "839" "840"
[841] "841" "842" "843" "844" "845" "846" "847" "848" "849" "850"
[851] "851" "852" "853" "854" "855" "856" "857" "858" "859" "860"
[861] "861" "862" "863" "864" "865" "866" "867" "868" "869" "870"
[871] "871" "872" "873" "874" "875" "876" "877" "878" "879" "880"
[881] "881" "882" "883" "884" "885" "886" "887" "888" "889" "890"
[891] "891" "892" "893" "894" "895" "896" "897" "898" "899" "900"
[901] "901" "902" "903" "904" "905" "906" "907" "908" "909" "910"
[911] "911" "912" "913" "914" "915" "916" "917" "918" "919" "920"
[921] "921" "922" "923" "924" "925" "926" "927" "928" "929" "930"
[931] "931" "932" "933" "934" "935" "936" "937" "938" "939" "940"
[941] "941" "942" "943" "944" "945" "946" "947" "948" "949" "950"
[951] "951" "952" "953" "954" "955" "956" "957" "958" "959" "960"
[961] "961" "962" "963" "964" "965" "966" "967" "968" "969" "970"
[971] "971" "972" "973" "974" "975" "976" "977" "978" "979" "980"
[981] "981" "982" "983" "984" "985" "986" "987" "988" "989" "990"
[991] "991" "992" "993" "994" "995" "996" "997" "998" "999" "1000"
[[2]]
[1] "id" "expl.name" "expl.val" "pred.name" "pred.val"
[1] 6250 7
[[1]]
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
[11] "11" "12" "13" "14" "15" "16" "17" "18" "19" "20"
[21] "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40"
[41] "41" "42" "43" "44" "45" "46" "47" "48" "49" "50"
[51] "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70"
[71] "71" "72" "73" "74" "75" "76" "77" "78" "79" "80"
[81] "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
[91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100"
[101] "101" "102" "103" "104" "105" "106" "107" "108" "109" "110"
[111] "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
[121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130"
[131] "131" "132" "133" "134" "135" "136" "137" "138" "139" "140"
[141] "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
[151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160"
[161] "161" "162" "163" "164" "165" "166" "167" "168" "169" "170"
[171] "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
[181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190"
[191] "191" "192" "193" "194" "195" "196" "197" "198" "199" "200"
[201] "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"
[211] "211" "212" "213" "214" "215" "216" "217" "218" "219" "220"
[221] "221" "222" "223" "224" "225" "226" "227" "228" "229" "230"
[231] "231" "232" "233" "234" "235" "236" "237" "238" "239" "240"
[241] "241" "242" "243" "244" "245" "246" "247" "248" "249" "250"
[251] "251" "252" "253" "254" "255" "256" "257" "258" "259" "260"
[261] "261" "262" "263" "264" "265" "266" "267" "268" "269" "270"
[271] "271" "272" "273" "274" "275" "276" "277" "278" "279" "280"
[281] "281" "282" "283" "284" "285" "286" "287" "288" "289" "290"
[291] "291" "292" "293" "294" "295" "296" "297" "298" "299" "300"
[301] "301" "302" "303" "304" "305" "306" "307" "308" "309" "310"
[311] "311" "312" "313" "314" "315" "316" "317" "318" "319" "320"
[321] "321" "322" "323" "324" "325" "326" "327" "328" "329" "330"
[331] "331" "332" "333" "334" "335" "336" "337" "338" "339" "340"
[341] "341" "342" "343" "344" "345" "346" "347" "348" "349" "350"
[351] "351" "352" "353" "354" "355" "356" "357" "358" "359" "360"
[361] "361" "362" "363" "364" "365" "366" "367" "368" "369" "370"
[371] "371" "372" "373" "374" "375" "376" "377" "378" "379" "380"
[381] "381" "382" "383" "384" "385" "386" "387" "388" "389" "390"
[391] "391" "392" "393" "394" "395" "396" "397" "398" "399" "400"
[401] "401" "402" "403" "404" "405" "406" "407" "408" "409" "410"
[411] "411" "412" "413" "414" "415" "416" "417" "418" "419" "420"
[421] "421" "422" "423" "424" "425" "426" "427" "428" "429" "430"
[431] "431" "432" "433" "434" "435" "436" "437" "438" "439" "440"
[441] "441" "442" "443" "444" "445" "446" "447" "448" "449" "450"
[451] "451" "452" "453" "454" "455" "456" "457" "458" "459" "460"
[461] "461" "462" "463" "464" "465" "466" "467" "468" "469" "470"
[471] "471" "472" "473" "474" "475" "476" "477" "478" "479" "480"
[481] "481" "482" "483" "484" "485" "486" "487" "488" "489" "490"
[491] "491" "492" "493" "494" "495" "496" "497" "498" "499" "500"
[501] "501" "502" "503" "504" "505" "506" "507" "508" "509" "510"
[511] "511" "512" "513" "514" "515" "516" "517" "518" "519" "520"
[521] "521" "522" "523" "524" "525" "526" "527" "528" "529" "530"
[531] "531" "532" "533" "534" "535" "536" "537" "538" "539" "540"
[541] "541" "542" "543" "544" "545" "546" "547" "548" "549" "550"
[551] "551" "552" "553" "554" "555" "556" "557" "558" "559" "560"
[561] "561" "562" "563" "564" "565" "566" "567" "568" "569" "570"
[571] "571" "572" "573" "574" "575" "576" "577" "578" "579" "580"
[581] "581" "582" "583" "584" "585" "586" "587" "588" "589" "590"
[591] "591" "592" "593" "594" "595" "596" "597" "598" "599" "600"
[601] "601" "602" "603" "604" "605" "606" "607" "608" "609" "610"
[611] "611" "612" "613" "614" "615" "616" "617" "618" "619" "620"
[621] "621" "622" "623" "624" "625" "626" "627" "628" "629" "630"
[631] "631" "632" "633" "634" "635" "636" "637" "638" "639" "640"
[641] "641" "642" "643" "644" "645" "646" "647" "648" "649" "650"
[651] "651" "652" "653" "654" "655" "656" "657" "658" "659" "660"
[661] "661" "662" "663" "664" "665" "666" "667" "668" "669" "670"
[671] "671" "672" "673" "674" "675" "676" "677" "678" "679" "680"
[681] "681" "682" "683" "684" "685" "686" "687" "688" "689" "690"
[691] "691" "692" "693" "694" "695" "696" "697" "698" "699" "700"
[701] "701" "702" "703" "704" "705" "706" "707" "708" "709" "710"
[711] "711" "712" "713" "714" "715" "716" "717" "718" "719" "720"
[721] "721" "722" "723" "724" "725" "726" "727" "728" "729" "730"
[731] "731" "732" "733" "734" "735" "736" "737" "738" "739" "740"
[741] "741" "742" "743" "744" "745" "746" "747" "748" "749" "750"
[751] "751" "752" "753" "754" "755" "756" "757" "758" "759" "760"
[761] "761" "762" "763" "764" "765" "766" "767" "768" "769" "770"
[771] "771" "772" "773" "774" "775" "776" "777" "778" "779" "780"
[781] "781" "782" "783" "784" "785" "786" "787" "788" "789" "790"
[791] "791" "792" "793" "794" "795" "796" "797" "798" "799" "800"
[801] "801" "802" "803" "804" "805" "806" "807" "808" "809" "810"
[811] "811" "812" "813" "814" "815" "816" "817" "818" "819" "820"
[821] "821" "822" "823" "824" "825" "826" "827" "828" "829" "830"
[831] "831" "832" "833" "834" "835" "836" "837" "838" "839" "840"
[841] "841" "842" "843" "844" "845" "846" "847" "848" "849" "850"
[851] "851" "852" "853" "854" "855" "856" "857" "858" "859" "860"
[861] "861" "862" "863" "864" "865" "866" "867" "868" "869" "870"
[871] "871" "872" "873" "874" "875" "876" "877" "878" "879" "880"
[881] "881" "882" "883" "884" "885" "886" "887" "888" "889" "890"
[891] "891" "892" "893" "894" "895" "896" "897" "898" "899" "900"
[901] "901" "902" "903" "904" "905" "906" "907" "908" "909" "910"
[911] "911" "912" "913" "914" "915" "916" "917" "918" "919" "920"
[921] "921" "922" "923" "924" "925" "926" "927" "928" "929" "930"
[931] "931" "932" "933" "934" "935" "936" "937" "938" "939" "940"
[941] "941" "942" "943" "944" "945" "946" "947" "948" "949" "950"
[951] "951" "952" "953" "954" "955" "956" "957" "958" "959" "960"
[961] "961" "962" "963" "964" "965" "966" "967" "968" "969" "970"
[971] "971" "972" "973" "974" "975" "976" "977" "978" "979" "980"
[981] "981" "982" "983" "984" "985" "986" "987" "988" "989" "990"
[991] "991" "992" "993" "994" "995" "996" "997" "998" "999" "1000"
[1001] "1001" "1002" "1003" "1004" "1005" "1006" "1007" "1008" "1009" "1010"
[1011] "1011" "1012" "1013" "1014" "1015" "1016" "1017" "1018" "1019" "1020"
[1021] "1021" "1022" "1023" "1024" "1025" "1026" "1027" "1028" "1029" "1030"
[1031] "1031" "1032" "1033" "1034" "1035" "1036" "1037" "1038" "1039" "1040"
[1041] "1041" "1042" "1043" "1044" "1045" "1046" "1047" "1048" "1049" "1050"
[1051] "1051" "1052" "1053" "1054" "1055" "1056" "1057" "1058" "1059" "1060"
[1061] "1061" "1062" "1063" "1064" "1065" "1066" "1067" "1068" "1069" "1070"
[1071] "1071" "1072" "1073" "1074" "1075" "1076" "1077" "1078" "1079" "1080"
[1081] "1081" "1082" "1083" "1084" "1085" "1086" "1087" "1088" "1089" "1090"
[1091] "1091" "1092" "1093" "1094" "1095" "1096" "1097" "1098" "1099" "1100"
[1101] "1101" "1102" "1103" "1104" "1105" "1106" "1107" "1108" "1109" "1110"
[1111] "1111" "1112" "1113" "1114" "1115" "1116" "1117" "1118" "1119" "1120"
[1121] "1121" "1122" "1123" "1124" "1125" "1126" "1127" "1128" "1129" "1130"
[1131] "1131" "1132" "1133" "1134" "1135" "1136" "1137" "1138" "1139" "1140"
[1141] "1141" "1142" "1143" "1144" "1145" "1146" "1147" "1148" "1149" "1150"
[1151] "1151" "1152" "1153" "1154" "1155" "1156" "1157" "1158" "1159" "1160"
[1161] "1161" "1162" "1163" "1164" "1165" "1166" "1167" "1168" "1169" "1170"
[1171] "1171" "1172" "1173" "1174" "1175" "1176" "1177" "1178" "1179" "1180"
[1181] "1181" "1182" "1183" "1184" "1185" "1186" "1187" "1188" "1189" "1190"
[1191] "1191" "1192" "1193" "1194" "1195" "1196" "1197" "1198" "1199" "1200"
[1201] "1201" "1202" "1203" "1204" "1205" "1206" "1207" "1208" "1209" "1210"
[1211] "1211" "1212" "1213" "1214" "1215" "1216" "1217" "1218" "1219" "1220"
[1221] "1221" "1222" "1223" "1224" "1225" "1226" "1227" "1228" "1229" "1230"
[1231] "1231" "1232" "1233" "1234" "1235" "1236" "1237" "1238" "1239" "1240"
[1241] "1241" "1242" "1243" "1244" "1245" "1246" "1247" "1248" "1249" "1250"
[1251] "1251" "1252" "1253" "1254" "1255" "1256" "1257" "1258" "1259" "1260"
[1261] "1261" "1262" "1263" "1264" "1265" "1266" "1267" "1268" "1269" "1270"
[1271] "1271" "1272" "1273" "1274" "1275" "1276" "1277" "1278" "1279" "1280"
[1281] "1281" "1282" "1283" "1284" "1285" "1286" "1287" "1288" "1289" "1290"
[1291] "1291" "1292" "1293" "1294" "1295" "1296" "1297" "1298" "1299" "1300"
[1301] "1301" "1302" "1303" "1304" "1305" "1306" "1307" "1308" "1309" "1310"
[1311] "1311" "1312" "1313" "1314" "1315" "1316" "1317" "1318" "1319" "1320"
[1321] "1321" "1322" "1323" "1324" "1325" "1326" "1327" "1328" "1329" "1330"
[1331] "1331" "1332" "1333" "1334" "1335" "1336" "1337" "1338" "1339" "1340"
[1341] "1341" "1342" "1343" "1344" "1345" "1346" "1347" "1348" "1349" "1350"
[1351] "1351" "1352" "1353" "1354" "1355" "1356" "1357" "1358" "1359" "1360"
[1361] "1361" "1362" "1363" "1364" "1365" "1366" "1367" "1368" "1369" "1370"
[1371] "1371" "1372" "1373" "1374" "1375" "1376" "1377" "1378" "1379" "1380"
[1381] "1381" "1382" "1383" "1384" "1385" "1386" "1387" "1388" "1389" "1390"
[1391] "1391" "1392" "1393" "1394" "1395" "1396" "1397" "1398" "1399" "1400"
[1401] "1401" "1402" "1403" "1404" "1405" "1406" "1407" "1408" "1409" "1410"
[1411] "1411" "1412" "1413" "1414" "1415" "1416" "1417" "1418" "1419" "1420"
[1421] "1421" "1422" "1423" "1424" "1425" "1426" "1427" "1428" "1429" "1430"
[1431] "1431" "1432" "1433" "1434" "1435" "1436" "1437" "1438" "1439" "1440"
[1441] "1441" "1442" "1443" "1444" "1445" "1446" "1447" "1448" "1449" "1450"
[1451] "1451" "1452" "1453" "1454" "1455" "1456" "1457" "1458" "1459" "1460"
[1461] "1461" "1462" "1463" "1464" "1465" "1466" "1467" "1468" "1469" "1470"
[1471] "1471" "1472" "1473" "1474" "1475" "1476" "1477" "1478" "1479" "1480"
[1481] "1481" "1482" "1483" "1484" "1485" "1486" "1487" "1488" "1489" "1490"
[1491] "1491" "1492" "1493" "1494" "1495" "1496" "1497" "1498" "1499" "1500"
[1501] "1501" "1502" "1503" "1504" "1505" "1506" "1507" "1508" "1509" "1510"
[1511] "1511" "1512" "1513" "1514" "1515" "1516" "1517" "1518" "1519" "1520"
[1521] "1521" "1522" "1523" "1524" "1525" "1526" "1527" "1528" "1529" "1530"
[1531] "1531" "1532" "1533" "1534" "1535" "1536" "1537" "1538" "1539" "1540"
[1541] "1541" "1542" "1543" "1544" "1545" "1546" "1547" "1548" "1549" "1550"
[1551] "1551" "1552" "1553" "1554" "1555" "1556" "1557" "1558" "1559" "1560"
[1561] "1561" "1562" "1563" "1564" "1565" "1566" "1567" "1568" "1569" "1570"
[1571] "1571" "1572" "1573" "1574" "1575" "1576" "1577" "1578" "1579" "1580"
[1581] "1581" "1582" "1583" "1584" "1585" "1586" "1587" "1588" "1589" "1590"
[1591] "1591" "1592" "1593" "1594" "1595" "1596" "1597" "1598" "1599" "1600"
[1601] "1601" "1602" "1603" "1604" "1605" "1606" "1607" "1608" "1609" "1610"
[1611] "1611" "1612" "1613" "1614" "1615" "1616" "1617" "1618" "1619" "1620"
[1621] "1621" "1622" "1623" "1624" "1625" "1626" "1627" "1628" "1629" "1630"
[1631] "1631" "1632" "1633" "1634" "1635" "1636" "1637" "1638" "1639" "1640"
[1641] "1641" "1642" "1643" "1644" "1645" "1646" "1647" "1648" "1649" "1650"
[1651] "1651" "1652" "1653" "1654" "1655" "1656" "1657" "1658" "1659" "1660"
[1661] "1661" "1662" "1663" "1664" "1665" "1666" "1667" "1668" "1669" "1670"
[1671] "1671" "1672" "1673" "1674" "1675" "1676" "1677" "1678" "1679" "1680"
[1681] "1681" "1682" "1683" "1684" "1685" "1686" "1687" "1688" "1689" "1690"
[1691] "1691" "1692" "1693" "1694" "1695" "1696" "1697" "1698" "1699" "1700"
[1701] "1701" "1702" "1703" "1704" "1705" "1706" "1707" "1708" "1709" "1710"
[1711] "1711" "1712" "1713" "1714" "1715" "1716" "1717" "1718" "1719" "1720"
[1721] "1721" "1722" "1723" "1724" "1725" "1726" "1727" "1728" "1729" "1730"
[1731] "1731" "1732" "1733" "1734" "1735" "1736" "1737" "1738" "1739" "1740"
[1741] "1741" "1742" "1743" "1744" "1745" "1746" "1747" "1748" "1749" "1750"
[1751] "1751" "1752" "1753" "1754" "1755" "1756" "1757" "1758" "1759" "1760"
[1761] "1761" "1762" "1763" "1764" "1765" "1766" "1767" "1768" "1769" "1770"
[1771] "1771" "1772" "1773" "1774" "1775" "1776" "1777" "1778" "1779" "1780"
[1781] "1781" "1782" "1783" "1784" "1785" "1786" "1787" "1788" "1789" "1790"
[1791] "1791" "1792" "1793" "1794" "1795" "1796" "1797" "1798" "1799" "1800"
[1801] "1801" "1802" "1803" "1804" "1805" "1806" "1807" "1808" "1809" "1810"
[1811] "1811" "1812" "1813" "1814" "1815" "1816" "1817" "1818" "1819" "1820"
[1821] "1821" "1822" "1823" "1824" "1825" "1826" "1827" "1828" "1829" "1830"
[1831] "1831" "1832" "1833" "1834" "1835" "1836" "1837" "1838" "1839" "1840"
[1841] "1841" "1842" "1843" "1844" "1845" "1846" "1847" "1848" "1849" "1850"
[1851] "1851" "1852" "1853" "1854" "1855" "1856" "1857" "1858" "1859" "1860"
[1861] "1861" "1862" "1863" "1864" "1865" "1866" "1867" "1868" "1869" "1870"
[1871] "1871" "1872" "1873" "1874" "1875" "1876" "1877" "1878" "1879" "1880"
[1881] "1881" "1882" "1883" "1884" "1885" "1886" "1887" "1888" "1889" "1890"
[1891] "1891" "1892" "1893" "1894" "1895" "1896" "1897" "1898" "1899" "1900"
[1901] "1901" "1902" "1903" "1904" "1905" "1906" "1907" "1908" "1909" "1910"
[1911] "1911" "1912" "1913" "1914" "1915" "1916" "1917" "1918" "1919" "1920"
[1921] "1921" "1922" "1923" "1924" "1925" "1926" "1927" "1928" "1929" "1930"
[1931] "1931" "1932" "1933" "1934" "1935" "1936" "1937" "1938" "1939" "1940"
[1941] "1941" "1942" "1943" "1944" "1945" "1946" "1947" "1948" "1949" "1950"
[1951] "1951" "1952" "1953" "1954" "1955" "1956" "1957" "1958" "1959" "1960"
[1961] "1961" "1962" "1963" "1964" "1965" "1966" "1967" "1968" "1969" "1970"
[1971] "1971" "1972" "1973" "1974" "1975" "1976" "1977" "1978" "1979" "1980"
[1981] "1981" "1982" "1983" "1984" "1985" "1986" "1987" "1988" "1989" "1990"
[1991] "1991" "1992" "1993" "1994" "1995" "1996" "1997" "1998" "1999" "2000"
[2001] "2001" "2002" "2003" "2004" "2005" "2006" "2007" "2008" "2009" "2010"
[2011] "2011" "2012" "2013" "2014" "2015" "2016" "2017" "2018" "2019" "2020"
[2021] "2021" "2022" "2023" "2024" "2025" "2026" "2027" "2028" "2029" "2030"
[2031] "2031" "2032" "2033" "2034" "2035" "2036" "2037" "2038" "2039" "2040"
[2041] "2041" "2042" "2043" "2044" "2045" "2046" "2047" "2048" "2049" "2050"
[2051] "2051" "2052" "2053" "2054" "2055" "2056" "2057" "2058" "2059" "2060"
[2061] "2061" "2062" "2063" "2064" "2065" "2066" "2067" "2068" "2069" "2070"
[2071] "2071" "2072" "2073" "2074" "2075" "2076" "2077" "2078" "2079" "2080"
[2081] "2081" "2082" "2083" "2084" "2085" "2086" "2087" "2088" "2089" "2090"
[2091] "2091" "2092" "2093" "2094" "2095" "2096" "2097" "2098" "2099" "2100"
[2101] "2101" "2102" "2103" "2104" "2105" "2106" "2107" "2108" "2109" "2110"
[2111] "2111" "2112" "2113" "2114" "2115" "2116" "2117" "2118" "2119" "2120"
[2121] "2121" "2122" "2123" "2124" "2125" "2126" "2127" "2128" "2129" "2130"
[2131] "2131" "2132" "2133" "2134" "2135" "2136" "2137" "2138" "2139" "2140"
[2141] "2141" "2142" "2143" "2144" "2145" "2146" "2147" "2148" "2149" "2150"
[2151] "2151" "2152" "2153" "2154" "2155" "2156" "2157" "2158" "2159" "2160"
[2161] "2161" "2162" "2163" "2164" "2165" "2166" "2167" "2168" "2169" "2170"
[2171] "2171" "2172" "2173" "2174" "2175" "2176" "2177" "2178" "2179" "2180"
[2181] "2181" "2182" "2183" "2184" "2185" "2186" "2187" "2188" "2189" "2190"
[2191] "2191" "2192" "2193" "2194" "2195" "2196" "2197" "2198" "2199" "2200"
[2201] "2201" "2202" "2203" "2204" "2205" "2206" "2207" "2208" "2209" "2210"
[2211] "2211" "2212" "2213" "2214" "2215" "2216" "2217" "2218" "2219" "2220"
[2221] "2221" "2222" "2223" "2224" "2225" "2226" "2227" "2228" "2229" "2230"
[2231] "2231" "2232" "2233" "2234" "2235" "2236" "2237" "2238" "2239" "2240"
[2241] "2241" "2242" "2243" "2244" "2245" "2246" "2247" "2248" "2249" "2250"
[2251] "2251" "2252" "2253" "2254" "2255" "2256" "2257" "2258" "2259" "2260"
[2261] "2261" "2262" "2263" "2264" "2265" "2266" "2267" "2268" "2269" "2270"
[2271] "2271" "2272" "2273" "2274" "2275" "2276" "2277" "2278" "2279" "2280"
[2281] "2281" "2282" "2283" "2284" "2285" "2286" "2287" "2288" "2289" "2290"
[2291] "2291" "2292" "2293" "2294" "2295" "2296" "2297" "2298" "2299" "2300"
[2301] "2301" "2302" "2303" "2304" "2305" "2306" "2307" "2308" "2309" "2310"
[2311] "2311" "2312" "2313" "2314" "2315" "2316" "2317" "2318" "2319" "2320"
[2321] "2321" "2322" "2323" "2324" "2325" "2326" "2327" "2328" "2329" "2330"
[2331] "2331" "2332" "2333" "2334" "2335" "2336" "2337" "2338" "2339" "2340"
[2341] "2341" "2342" "2343" "2344" "2345" "2346" "2347" "2348" "2349" "2350"
[2351] "2351" "2352" "2353" "2354" "2355" "2356" "2357" "2358" "2359" "2360"
[2361] "2361" "2362" "2363" "2364" "2365" "2366" "2367" "2368" "2369" "2370"
[2371] "2371" "2372" "2373" "2374" "2375" "2376" "2377" "2378" "2379" "2380"
[2381] "2381" "2382" "2383" "2384" "2385" "2386" "2387" "2388" "2389" "2390"
[2391] "2391" "2392" "2393" "2394" "2395" "2396" "2397" "2398" "2399" "2400"
[2401] "2401" "2402" "2403" "2404" "2405" "2406" "2407" "2408" "2409" "2410"
[2411] "2411" "2412" "2413" "2414" "2415" "2416" "2417" "2418" "2419" "2420"
[2421] "2421" "2422" "2423" "2424" "2425" "2426" "2427" "2428" "2429" "2430"
[2431] "2431" "2432" "2433" "2434" "2435" "2436" "2437" "2438" "2439" "2440"
[2441] "2441" "2442" "2443" "2444" "2445" "2446" "2447" "2448" "2449" "2450"
[2451] "2451" "2452" "2453" "2454" "2455" "2456" "2457" "2458" "2459" "2460"
[2461] "2461" "2462" "2463" "2464" "2465" "2466" "2467" "2468" "2469" "2470"
[2471] "2471" "2472" "2473" "2474" "2475" "2476" "2477" "2478" "2479" "2480"
[2481] "2481" "2482" "2483" "2484" "2485" "2486" "2487" "2488" "2489" "2490"
[2491] "2491" "2492" "2493" "2494" "2495" "2496" "2497" "2498" "2499" "2500"
[2501] "2501" "2502" "2503" "2504" "2505" "2506" "2507" "2508" "2509" "2510"
[2511] "2511" "2512" "2513" "2514" "2515" "2516" "2517" "2518" "2519" "2520"
[2521] "2521" "2522" "2523" "2524" "2525" "2526" "2527" "2528" "2529" "2530"
[2531] "2531" "2532" "2533" "2534" "2535" "2536" "2537" "2538" "2539" "2540"
[2541] "2541" "2542" "2543" "2544" "2545" "2546" "2547" "2548" "2549" "2550"
[2551] "2551" "2552" "2553" "2554" "2555" "2556" "2557" "2558" "2559" "2560"
[2561] "2561" "2562" "2563" "2564" "2565" "2566" "2567" "2568" "2569" "2570"
[2571] "2571" "2572" "2573" "2574" "2575" "2576" "2577" "2578" "2579" "2580"
[2581] "2581" "2582" "2583" "2584" "2585" "2586" "2587" "2588" "2589" "2590"
[2591] "2591" "2592" "2593" "2594" "2595" "2596" "2597" "2598" "2599" "2600"
[2601] "2601" "2602" "2603" "2604" "2605" "2606" "2607" "2608" "2609" "2610"
[2611] "2611" "2612" "2613" "2614" "2615" "2616" "2617" "2618" "2619" "2620"
[2621] "2621" "2622" "2623" "2624" "2625" "2626" "2627" "2628" "2629" "2630"
[2631] "2631" "2632" "2633" "2634" "2635" "2636" "2637" "2638" "2639" "2640"
[2641] "2641" "2642" "2643" "2644" "2645" "2646" "2647" "2648" "2649" "2650"
[2651] "2651" "2652" "2653" "2654" "2655" "2656" "2657" "2658" "2659" "2660"
[2661] "2661" "2662" "2663" "2664" "2665" "2666" "2667" "2668" "2669" "2670"
[2671] "2671" "2672" "2673" "2674" "2675" "2676" "2677" "2678" "2679" "2680"
[2681] "2681" "2682" "2683" "2684" "2685" "2686" "2687" "2688" "2689" "2690"
[2691] "2691" "2692" "2693" "2694" "2695" "2696" "2697" "2698" "2699" "2700"
[2701] "2701" "2702" "2703" "2704" "2705" "2706" "2707" "2708" "2709" "2710"
[2711] "2711" "2712" "2713" "2714" "2715" "2716" "2717" "2718" "2719" "2720"
[2721] "2721" "2722" "2723" "2724" "2725" "2726" "2727" "2728" "2729" "2730"
[2731] "2731" "2732" "2733" "2734" "2735" "2736" "2737" "2738" "2739" "2740"
[2741] "2741" "2742" "2743" "2744" "2745" "2746" "2747" "2748" "2749" "2750"
[2751] "2751" "2752" "2753" "2754" "2755" "2756" "2757" "2758" "2759" "2760"
[2761] "2761" "2762" "2763" "2764" "2765" "2766" "2767" "2768" "2769" "2770"
[2771] "2771" "2772" "2773" "2774" "2775" "2776" "2777" "2778" "2779" "2780"
[2781] "2781" "2782" "2783" "2784" "2785" "2786" "2787" "2788" "2789" "2790"
[2791] "2791" "2792" "2793" "2794" "2795" "2796" "2797" "2798" "2799" "2800"
[2801] "2801" "2802" "2803" "2804" "2805" "2806" "2807" "2808" "2809" "2810"
[2811] "2811" "2812" "2813" "2814" "2815" "2816" "2817" "2818" "2819" "2820"
[2821] "2821" "2822" "2823" "2824" "2825" "2826" "2827" "2828" "2829" "2830"
[2831] "2831" "2832" "2833" "2834" "2835" "2836" "2837" "2838" "2839" "2840"
[2841] "2841" "2842" "2843" "2844" "2845" "2846" "2847" "2848" "2849" "2850"
[2851] "2851" "2852" "2853" "2854" "2855" "2856" "2857" "2858" "2859" "2860"
[2861] "2861" "2862" "2863" "2864" "2865" "2866" "2867" "2868" "2869" "2870"
[2871] "2871" "2872" "2873" "2874" "2875" "2876" "2877" "2878" "2879" "2880"
[2881] "2881" "2882" "2883" "2884" "2885" "2886" "2887" "2888" "2889" "2890"
[2891] "2891" "2892" "2893" "2894" "2895" "2896" "2897" "2898" "2899" "2900"
[2901] "2901" "2902" "2903" "2904" "2905" "2906" "2907" "2908" "2909" "2910"
[2911] "2911" "2912" "2913" "2914" "2915" "2916" "2917" "2918" "2919" "2920"
[2921] "2921" "2922" "2923" "2924" "2925" "2926" "2927" "2928" "2929" "2930"
[2931] "2931" "2932" "2933" "2934" "2935" "2936" "2937" "2938" "2939" "2940"
[2941] "2941" "2942" "2943" "2944" "2945" "2946" "2947" "2948" "2949" "2950"
[2951] "2951" "2952" "2953" "2954" "2955" "2956" "2957" "2958" "2959" "2960"
[2961] "2961" "2962" "2963" "2964" "2965" "2966" "2967" "2968" "2969" "2970"
[2971] "2971" "2972" "2973" "2974" "2975" "2976" "2977" "2978" "2979" "2980"
[2981] "2981" "2982" "2983" "2984" "2985" "2986" "2987" "2988" "2989" "2990"
[2991] "2991" "2992" "2993" "2994" "2995" "2996" "2997" "2998" "2999" "3000"
[3001] "3001" "3002" "3003" "3004" "3005" "3006" "3007" "3008" "3009" "3010"
[3011] "3011" "3012" "3013" "3014" "3015" "3016" "3017" "3018" "3019" "3020"
[3021] "3021" "3022" "3023" "3024" "3025" "3026" "3027" "3028" "3029" "3030"
[3031] "3031" "3032" "3033" "3034" "3035" "3036" "3037" "3038" "3039" "3040"
[3041] "3041" "3042" "3043" "3044" "3045" "3046" "3047" "3048" "3049" "3050"
[3051] "3051" "3052" "3053" "3054" "3055" "3056" "3057" "3058" "3059" "3060"
[3061] "3061" "3062" "3063" "3064" "3065" "3066" "3067" "3068" "3069" "3070"
[3071] "3071" "3072" "3073" "3074" "3075" "3076" "3077" "3078" "3079" "3080"
[3081] "3081" "3082" "3083" "3084" "3085" "3086" "3087" "3088" "3089" "3090"
[3091] "3091" "3092" "3093" "3094" "3095" "3096" "3097" "3098" "3099" "3100"
[3101] "3101" "3102" "3103" "3104" "3105" "3106" "3107" "3108" "3109" "3110"
[3111] "3111" "3112" "3113" "3114" "3115" "3116" "3117" "3118" "3119" "3120"
[3121] "3121" "3122" "3123" "3124" "3125" "3126" "3127" "3128" "3129" "3130"
[3131] "3131" "3132" "3133" "3134" "3135" "3136" "3137" "3138" "3139" "3140"
[3141] "3141" "3142" "3143" "3144" "3145" "3146" "3147" "3148" "3149" "3150"
[3151] "3151" "3152" "3153" "3154" "3155" "3156" "3157" "3158" "3159" "3160"
[3161] "3161" "3162" "3163" "3164" "3165" "3166" "3167" "3168" "3169" "3170"
[3171] "3171" "3172" "3173" "3174" "3175" "3176" "3177" "3178" "3179" "3180"
[3181] "3181" "3182" "3183" "3184" "3185" "3186" "3187" "3188" "3189" "3190"
[3191] "3191" "3192" "3193" "3194" "3195" "3196" "3197" "3198" "3199" "3200"
[3201] "3201" "3202" "3203" "3204" "3205" "3206" "3207" "3208" "3209" "3210"
[3211] "3211" "3212" "3213" "3214" "3215" "3216" "3217" "3218" "3219" "3220"
[3221] "3221" "3222" "3223" "3224" "3225" "3226" "3227" "3228" "3229" "3230"
[3231] "3231" "3232" "3233" "3234" "3235" "3236" "3237" "3238" "3239" "3240"
[3241] "3241" "3242" "3243" "3244" "3245" "3246" "3247" "3248" "3249" "3250"
[3251] "3251" "3252" "3253" "3254" "3255" "3256" "3257" "3258" "3259" "3260"
[3261] "3261" "3262" "3263" "3264" "3265" "3266" "3267" "3268" "3269" "3270"
[3271] "3271" "3272" "3273" "3274" "3275" "3276" "3277" "3278" "3279" "3280"
[3281] "3281" "3282" "3283" "3284" "3285" "3286" "3287" "3288" "3289" "3290"
[3291] "3291" "3292" "3293" "3294" "3295" "3296" "3297" "3298" "3299" "3300"
[3301] "3301" "3302" "3303" "3304" "3305" "3306" "3307" "3308" "3309" "3310"
[3311] "3311" "3312" "3313" "3314" "3315" "3316" "3317" "3318" "3319" "3320"
[3321] "3321" "3322" "3323" "3324" "3325" "3326" "3327" "3328" "3329" "3330"
[3331] "3331" "3332" "3333" "3334" "3335" "3336" "3337" "3338" "3339" "3340"
[3341] "3341" "3342" "3343" "3344" "3345" "3346" "3347" "3348" "3349" "3350"
[3351] "3351" "3352" "3353" "3354" "3355" "3356" "3357" "3358" "3359" "3360"
[3361] "3361" "3362" "3363" "3364" "3365" "3366" "3367" "3368" "3369" "3370"
[3371] "3371" "3372" "3373" "3374" "3375" "3376" "3377" "3378" "3379" "3380"
[3381] "3381" "3382" "3383" "3384" "3385" "3386" "3387" "3388" "3389" "3390"
[3391] "3391" "3392" "3393" "3394" "3395" "3396" "3397" "3398" "3399" "3400"
[3401] "3401" "3402" "3403" "3404" "3405" "3406" "3407" "3408" "3409" "3410"
[3411] "3411" "3412" "3413" "3414" "3415" "3416" "3417" "3418" "3419" "3420"
[3421] "3421" "3422" "3423" "3424" "3425" "3426" "3427" "3428" "3429" "3430"
[3431] "3431" "3432" "3433" "3434" "3435" "3436" "3437" "3438" "3439" "3440"
[3441] "3441" "3442" "3443" "3444" "3445" "3446" "3447" "3448" "3449" "3450"
[3451] "3451" "3452" "3453" "3454" "3455" "3456" "3457" "3458" "3459" "3460"
[3461] "3461" "3462" "3463" "3464" "3465" "3466" "3467" "3468" "3469" "3470"
[3471] "3471" "3472" "3473" "3474" "3475" "3476" "3477" "3478" "3479" "3480"
[3481] "3481" "3482" "3483" "3484" "3485" "3486" "3487" "3488" "3489" "3490"
[3491] "3491" "3492" "3493" "3494" "3495" "3496" "3497" "3498" "3499" "3500"
[3501] "3501" "3502" "3503" "3504" "3505" "3506" "3507" "3508" "3509" "3510"
[3511] "3511" "3512" "3513" "3514" "3515" "3516" "3517" "3518" "3519" "3520"
[3521] "3521" "3522" "3523" "3524" "3525" "3526" "3527" "3528" "3529" "3530"
[3531] "3531" "3532" "3533" "3534" "3535" "3536" "3537" "3538" "3539" "3540"
[3541] "3541" "3542" "3543" "3544" "3545" "3546" "3547" "3548" "3549" "3550"
[3551] "3551" "3552" "3553" "3554" "3555" "3556" "3557" "3558" "3559" "3560"
[3561] "3561" "3562" "3563" "3564" "3565" "3566" "3567" "3568" "3569" "3570"
[3571] "3571" "3572" "3573" "3574" "3575" "3576" "3577" "3578" "3579" "3580"
[3581] "3581" "3582" "3583" "3584" "3585" "3586" "3587" "3588" "3589" "3590"
[3591] "3591" "3592" "3593" "3594" "3595" "3596" "3597" "3598" "3599" "3600"
[3601] "3601" "3602" "3603" "3604" "3605" "3606" "3607" "3608" "3609" "3610"
[3611] "3611" "3612" "3613" "3614" "3615" "3616" "3617" "3618" "3619" "3620"
[3621] "3621" "3622" "3623" "3624" "3625" "3626" "3627" "3628" "3629" "3630"
[3631] "3631" "3632" "3633" "3634" "3635" "3636" "3637" "3638" "3639" "3640"
[3641] "3641" "3642" "3643" "3644" "3645" "3646" "3647" "3648" "3649" "3650"
[3651] "3651" "3652" "3653" "3654" "3655" "3656" "3657" "3658" "3659" "3660"
[3661] "3661" "3662" "3663" "3664" "3665" "3666" "3667" "3668" "3669" "3670"
[3671] "3671" "3672" "3673" "3674" "3675" "3676" "3677" "3678" "3679" "3680"
[3681] "3681" "3682" "3683" "3684" "3685" "3686" "3687" "3688" "3689" "3690"
[3691] "3691" "3692" "3693" "3694" "3695" "3696" "3697" "3698" "3699" "3700"
[3701] "3701" "3702" "3703" "3704" "3705" "3706" "3707" "3708" "3709" "3710"
[3711] "3711" "3712" "3713" "3714" "3715" "3716" "3717" "3718" "3719" "3720"
[3721] "3721" "3722" "3723" "3724" "3725" "3726" "3727" "3728" "3729" "3730"
[3731] "3731" "3732" "3733" "3734" "3735" "3736" "3737" "3738" "3739" "3740"
[3741] "3741" "3742" "3743" "3744" "3745" "3746" "3747" "3748" "3749" "3750"
[3751] "3751" "3752" "3753" "3754" "3755" "3756" "3757" "3758" "3759" "3760"
[3761] "3761" "3762" "3763" "3764" "3765" "3766" "3767" "3768" "3769" "3770"
[3771] "3771" "3772" "3773" "3774" "3775" "3776" "3777" "3778" "3779" "3780"
[3781] "3781" "3782" "3783" "3784" "3785" "3786" "3787" "3788" "3789" "3790"
[3791] "3791" "3792" "3793" "3794" "3795" "3796" "3797" "3798" "3799" "3800"
[3801] "3801" "3802" "3803" "3804" "3805" "3806" "3807" "3808" "3809" "3810"
[3811] "3811" "3812" "3813" "3814" "3815" "3816" "3817" "3818" "3819" "3820"
[3821] "3821" "3822" "3823" "3824" "3825" "3826" "3827" "3828" "3829" "3830"
[3831] "3831" "3832" "3833" "3834" "3835" "3836" "3837" "3838" "3839" "3840"
[3841] "3841" "3842" "3843" "3844" "3845" "3846" "3847" "3848" "3849" "3850"
[3851] "3851" "3852" "3853" "3854" "3855" "3856" "3857" "3858" "3859" "3860"
[3861] "3861" "3862" "3863" "3864" "3865" "3866" "3867" "3868" "3869" "3870"
[3871] "3871" "3872" "3873" "3874" "3875" "3876" "3877" "3878" "3879" "3880"
[3881] "3881" "3882" "3883" "3884" "3885" "3886" "3887" "3888" "3889" "3890"
[3891] "3891" "3892" "3893" "3894" "3895" "3896" "3897" "3898" "3899" "3900"
[3901] "3901" "3902" "3903" "3904" "3905" "3906" "3907" "3908" "3909" "3910"
[3911] "3911" "3912" "3913" "3914" "3915" "3916" "3917" "3918" "3919" "3920"
[3921] "3921" "3922" "3923" "3924" "3925" "3926" "3927" "3928" "3929" "3930"
[3931] "3931" "3932" "3933" "3934" "3935" "3936" "3937" "3938" "3939" "3940"
[3941] "3941" "3942" "3943" "3944" "3945" "3946" "3947" "3948" "3949" "3950"
[3951] "3951" "3952" "3953" "3954" "3955" "3956" "3957" "3958" "3959" "3960"
[3961] "3961" "3962" "3963" "3964" "3965" "3966" "3967" "3968" "3969" "3970"
[3971] "3971" "3972" "3973" "3974" "3975" "3976" "3977" "3978" "3979" "3980"
[3981] "3981" "3982" "3983" "3984" "3985" "3986" "3987" "3988" "3989" "3990"
[3991] "3991" "3992" "3993" "3994" "3995" "3996" "3997" "3998" "3999" "4000"
[4001] "4001" "4002" "4003" "4004" "4005" "4006" "4007" "4008" "4009" "4010"
[4011] "4011" "4012" "4013" "4014" "4015" "4016" "4017" "4018" "4019" "4020"
[4021] "4021" "4022" "4023" "4024" "4025" "4026" "4027" "4028" "4029" "4030"
[4031] "4031" "4032" "4033" "4034" "4035" "4036" "4037" "4038" "4039" "4040"
[4041] "4041" "4042" "4043" "4044" "4045" "4046" "4047" "4048" "4049" "4050"
[4051] "4051" "4052" "4053" "4054" "4055" "4056" "4057" "4058" "4059" "4060"
[4061] "4061" "4062" "4063" "4064" "4065" "4066" "4067" "4068" "4069" "4070"
[4071] "4071" "4072" "4073" "4074" "4075" "4076" "4077" "4078" "4079" "4080"
[4081] "4081" "4082" "4083" "4084" "4085" "4086" "4087" "4088" "4089" "4090"
[4091] "4091" "4092" "4093" "4094" "4095" "4096" "4097" "4098" "4099" "4100"
[4101] "4101" "4102" "4103" "4104" "4105" "4106" "4107" "4108" "4109" "4110"
[4111] "4111" "4112" "4113" "4114" "4115" "4116" "4117" "4118" "4119" "4120"
[4121] "4121" "4122" "4123" "4124" "4125" "4126" "4127" "4128" "4129" "4130"
[4131] "4131" "4132" "4133" "4134" "4135" "4136" "4137" "4138" "4139" "4140"
[4141] "4141" "4142" "4143" "4144" "4145" "4146" "4147" "4148" "4149" "4150"
[4151] "4151" "4152" "4153" "4154" "4155" "4156" "4157" "4158" "4159" "4160"
[4161] "4161" "4162" "4163" "4164" "4165" "4166" "4167" "4168" "4169" "4170"
[4171] "4171" "4172" "4173" "4174" "4175" "4176" "4177" "4178" "4179" "4180"
[4181] "4181" "4182" "4183" "4184" "4185" "4186" "4187" "4188" "4189" "4190"
[4191] "4191" "4192" "4193" "4194" "4195" "4196" "4197" "4198" "4199" "4200"
[4201] "4201" "4202" "4203" "4204" "4205" "4206" "4207" "4208" "4209" "4210"
[4211] "4211" "4212" "4213" "4214" "4215" "4216" "4217" "4218" "4219" "4220"
[4221] "4221" "4222" "4223" "4224" "4225" "4226" "4227" "4228" "4229" "4230"
[4231] "4231" "4232" "4233" "4234" "4235" "4236" "4237" "4238" "4239" "4240"
[4241] "4241" "4242" "4243" "4244" "4245" "4246" "4247" "4248" "4249" "4250"
[4251] "4251" "4252" "4253" "4254" "4255" "4256" "4257" "4258" "4259" "4260"
[4261] "4261" "4262" "4263" "4264" "4265" "4266" "4267" "4268" "4269" "4270"
[4271] "4271" "4272" "4273" "4274" "4275" "4276" "4277" "4278" "4279" "4280"
[4281] "4281" "4282" "4283" "4284" "4285" "4286" "4287" "4288" "4289" "4290"
[4291] "4291" "4292" "4293" "4294" "4295" "4296" "4297" "4298" "4299" "4300"
[4301] "4301" "4302" "4303" "4304" "4305" "4306" "4307" "4308" "4309" "4310"
[4311] "4311" "4312" "4313" "4314" "4315" "4316" "4317" "4318" "4319" "4320"
[4321] "4321" "4322" "4323" "4324" "4325" "4326" "4327" "4328" "4329" "4330"
[4331] "4331" "4332" "4333" "4334" "4335" "4336" "4337" "4338" "4339" "4340"
[4341] "4341" "4342" "4343" "4344" "4345" "4346" "4347" "4348" "4349" "4350"
[4351] "4351" "4352" "4353" "4354" "4355" "4356" "4357" "4358" "4359" "4360"
[4361] "4361" "4362" "4363" "4364" "4365" "4366" "4367" "4368" "4369" "4370"
[4371] "4371" "4372" "4373" "4374" "4375" "4376" "4377" "4378" "4379" "4380"
[4381] "4381" "4382" "4383" "4384" "4385" "4386" "4387" "4388" "4389" "4390"
[4391] "4391" "4392" "4393" "4394" "4395" "4396" "4397" "4398" "4399" "4400"
[4401] "4401" "4402" "4403" "4404" "4405" "4406" "4407" "4408" "4409" "4410"
[4411] "4411" "4412" "4413" "4414" "4415" "4416" "4417" "4418" "4419" "4420"
[4421] "4421" "4422" "4423" "4424" "4425" "4426" "4427" "4428" "4429" "4430"
[4431] "4431" "4432" "4433" "4434" "4435" "4436" "4437" "4438" "4439" "4440"
[4441] "4441" "4442" "4443" "4444" "4445" "4446" "4447" "4448" "4449" "4450"
[4451] "4451" "4452" "4453" "4454" "4455" "4456" "4457" "4458" "4459" "4460"
[4461] "4461" "4462" "4463" "4464" "4465" "4466" "4467" "4468" "4469" "4470"
[4471] "4471" "4472" "4473" "4474" "4475" "4476" "4477" "4478" "4479" "4480"
[4481] "4481" "4482" "4483" "4484" "4485" "4486" "4487" "4488" "4489" "4490"
[4491] "4491" "4492" "4493" "4494" "4495" "4496" "4497" "4498" "4499" "4500"
[4501] "4501" "4502" "4503" "4504" "4505" "4506" "4507" "4508" "4509" "4510"
[4511] "4511" "4512" "4513" "4514" "4515" "4516" "4517" "4518" "4519" "4520"
[4521] "4521" "4522" "4523" "4524" "4525" "4526" "4527" "4528" "4529" "4530"
[4531] "4531" "4532" "4533" "4534" "4535" "4536" "4537" "4538" "4539" "4540"
[4541] "4541" "4542" "4543" "4544" "4545" "4546" "4547" "4548" "4549" "4550"
[4551] "4551" "4552" "4553" "4554" "4555" "4556" "4557" "4558" "4559" "4560"
[4561] "4561" "4562" "4563" "4564" "4565" "4566" "4567" "4568" "4569" "4570"
[4571] "4571" "4572" "4573" "4574" "4575" "4576" "4577" "4578" "4579" "4580"
[4581] "4581" "4582" "4583" "4584" "4585" "4586" "4587" "4588" "4589" "4590"
[4591] "4591" "4592" "4593" "4594" "4595" "4596" "4597" "4598" "4599" "4600"
[4601] "4601" "4602" "4603" "4604" "4605" "4606" "4607" "4608" "4609" "4610"
[4611] "4611" "4612" "4613" "4614" "4615" "4616" "4617" "4618" "4619" "4620"
[4621] "4621" "4622" "4623" "4624" "4625" "4626" "4627" "4628" "4629" "4630"
[4631] "4631" "4632" "4633" "4634" "4635" "4636" "4637" "4638" "4639" "4640"
[4641] "4641" "4642" "4643" "4644" "4645" "4646" "4647" "4648" "4649" "4650"
[4651] "4651" "4652" "4653" "4654" "4655" "4656" "4657" "4658" "4659" "4660"
[4661] "4661" "4662" "4663" "4664" "4665" "4666" "4667" "4668" "4669" "4670"
[4671] "4671" "4672" "4673" "4674" "4675" "4676" "4677" "4678" "4679" "4680"
[4681] "4681" "4682" "4683" "4684" "4685" "4686" "4687" "4688" "4689" "4690"
[4691] "4691" "4692" "4693" "4694" "4695" "4696" "4697" "4698" "4699" "4700"
[4701] "4701" "4702" "4703" "4704" "4705" "4706" "4707" "4708" "4709" "4710"
[4711] "4711" "4712" "4713" "4714" "4715" "4716" "4717" "4718" "4719" "4720"
[4721] "4721" "4722" "4723" "4724" "4725" "4726" "4727" "4728" "4729" "4730"
[4731] "4731" "4732" "4733" "4734" "4735" "4736" "4737" "4738" "4739" "4740"
[4741] "4741" "4742" "4743" "4744" "4745" "4746" "4747" "4748" "4749" "4750"
[4751] "4751" "4752" "4753" "4754" "4755" "4756" "4757" "4758" "4759" "4760"
[4761] "4761" "4762" "4763" "4764" "4765" "4766" "4767" "4768" "4769" "4770"
[4771] "4771" "4772" "4773" "4774" "4775" "4776" "4777" "4778" "4779" "4780"
[4781] "4781" "4782" "4783" "4784" "4785" "4786" "4787" "4788" "4789" "4790"
[4791] "4791" "4792" "4793" "4794" "4795" "4796" "4797" "4798" "4799" "4800"
[4801] "4801" "4802" "4803" "4804" "4805" "4806" "4807" "4808" "4809" "4810"
[4811] "4811" "4812" "4813" "4814" "4815" "4816" "4817" "4818" "4819" "4820"
[4821] "4821" "4822" "4823" "4824" "4825" "4826" "4827" "4828" "4829" "4830"
[4831] "4831" "4832" "4833" "4834" "4835" "4836" "4837" "4838" "4839" "4840"
[4841] "4841" "4842" "4843" "4844" "4845" "4846" "4847" "4848" "4849" "4850"
[4851] "4851" "4852" "4853" "4854" "4855" "4856" "4857" "4858" "4859" "4860"
[4861] "4861" "4862" "4863" "4864" "4865" "4866" "4867" "4868" "4869" "4870"
[4871] "4871" "4872" "4873" "4874" "4875" "4876" "4877" "4878" "4879" "4880"
[4881] "4881" "4882" "4883" "4884" "4885" "4886" "4887" "4888" "4889" "4890"
[4891] "4891" "4892" "4893" "4894" "4895" "4896" "4897" "4898" "4899" "4900"
[4901] "4901" "4902" "4903" "4904" "4905" "4906" "4907" "4908" "4909" "4910"
[4911] "4911" "4912" "4913" "4914" "4915" "4916" "4917" "4918" "4919" "4920"
[4921] "4921" "4922" "4923" "4924" "4925" "4926" "4927" "4928" "4929" "4930"
[4931] "4931" "4932" "4933" "4934" "4935" "4936" "4937" "4938" "4939" "4940"
[4941] "4941" "4942" "4943" "4944" "4945" "4946" "4947" "4948" "4949" "4950"
[4951] "4951" "4952" "4953" "4954" "4955" "4956" "4957" "4958" "4959" "4960"
[4961] "4961" "4962" "4963" "4964" "4965" "4966" "4967" "4968" "4969" "4970"
[4971] "4971" "4972" "4973" "4974" "4975" "4976" "4977" "4978" "4979" "4980"
[4981] "4981" "4982" "4983" "4984" "4985" "4986" "4987" "4988" "4989" "4990"
[4991] "4991" "4992" "4993" "4994" "4995" "4996" "4997" "4998" "4999" "5000"
[5001] "5001" "5002" "5003" "5004" "5005" "5006" "5007" "5008" "5009" "5010"
[5011] "5011" "5012" "5013" "5014" "5015" "5016" "5017" "5018" "5019" "5020"
[5021] "5021" "5022" "5023" "5024" "5025" "5026" "5027" "5028" "5029" "5030"
[5031] "5031" "5032" "5033" "5034" "5035" "5036" "5037" "5038" "5039" "5040"
[5041] "5041" "5042" "5043" "5044" "5045" "5046" "5047" "5048" "5049" "5050"
[5051] "5051" "5052" "5053" "5054" "5055" "5056" "5057" "5058" "5059" "5060"
[5061] "5061" "5062" "5063" "5064" "5065" "5066" "5067" "5068" "5069" "5070"
[5071] "5071" "5072" "5073" "5074" "5075" "5076" "5077" "5078" "5079" "5080"
[5081] "5081" "5082" "5083" "5084" "5085" "5086" "5087" "5088" "5089" "5090"
[5091] "5091" "5092" "5093" "5094" "5095" "5096" "5097" "5098" "5099" "5100"
[5101] "5101" "5102" "5103" "5104" "5105" "5106" "5107" "5108" "5109" "5110"
[5111] "5111" "5112" "5113" "5114" "5115" "5116" "5117" "5118" "5119" "5120"
[5121] "5121" "5122" "5123" "5124" "5125" "5126" "5127" "5128" "5129" "5130"
[5131] "5131" "5132" "5133" "5134" "5135" "5136" "5137" "5138" "5139" "5140"
[5141] "5141" "5142" "5143" "5144" "5145" "5146" "5147" "5148" "5149" "5150"
[5151] "5151" "5152" "5153" "5154" "5155" "5156" "5157" "5158" "5159" "5160"
[5161] "5161" "5162" "5163" "5164" "5165" "5166" "5167" "5168" "5169" "5170"
[5171] "5171" "5172" "5173" "5174" "5175" "5176" "5177" "5178" "5179" "5180"
[5181] "5181" "5182" "5183" "5184" "5185" "5186" "5187" "5188" "5189" "5190"
[5191] "5191" "5192" "5193" "5194" "5195" "5196" "5197" "5198" "5199" "5200"
[5201] "5201" "5202" "5203" "5204" "5205" "5206" "5207" "5208" "5209" "5210"
[5211] "5211" "5212" "5213" "5214" "5215" "5216" "5217" "5218" "5219" "5220"
[5221] "5221" "5222" "5223" "5224" "5225" "5226" "5227" "5228" "5229" "5230"
[5231] "5231" "5232" "5233" "5234" "5235" "5236" "5237" "5238" "5239" "5240"
[5241] "5241" "5242" "5243" "5244" "5245" "5246" "5247" "5248" "5249" "5250"
[5251] "5251" "5252" "5253" "5254" "5255" "5256" "5257" "5258" "5259" "5260"
[5261] "5261" "5262" "5263" "5264" "5265" "5266" "5267" "5268" "5269" "5270"
[5271] "5271" "5272" "5273" "5274" "5275" "5276" "5277" "5278" "5279" "5280"
[5281] "5281" "5282" "5283" "5284" "5285" "5286" "5287" "5288" "5289" "5290"
[5291] "5291" "5292" "5293" "5294" "5295" "5296" "5297" "5298" "5299" "5300"
[5301] "5301" "5302" "5303" "5304" "5305" "5306" "5307" "5308" "5309" "5310"
[5311] "5311" "5312" "5313" "5314" "5315" "5316" "5317" "5318" "5319" "5320"
[5321] "5321" "5322" "5323" "5324" "5325" "5326" "5327" "5328" "5329" "5330"
[5331] "5331" "5332" "5333" "5334" "5335" "5336" "5337" "5338" "5339" "5340"
[5341] "5341" "5342" "5343" "5344" "5345" "5346" "5347" "5348" "5349" "5350"
[5351] "5351" "5352" "5353" "5354" "5355" "5356" "5357" "5358" "5359" "5360"
[5361] "5361" "5362" "5363" "5364" "5365" "5366" "5367" "5368" "5369" "5370"
[5371] "5371" "5372" "5373" "5374" "5375" "5376" "5377" "5378" "5379" "5380"
[5381] "5381" "5382" "5383" "5384" "5385" "5386" "5387" "5388" "5389" "5390"
[5391] "5391" "5392" "5393" "5394" "5395" "5396" "5397" "5398" "5399" "5400"
[5401] "5401" "5402" "5403" "5404" "5405" "5406" "5407" "5408" "5409" "5410"
[5411] "5411" "5412" "5413" "5414" "5415" "5416" "5417" "5418" "5419" "5420"
[5421] "5421" "5422" "5423" "5424" "5425" "5426" "5427" "5428" "5429" "5430"
[5431] "5431" "5432" "5433" "5434" "5435" "5436" "5437" "5438" "5439" "5440"
[5441] "5441" "5442" "5443" "5444" "5445" "5446" "5447" "5448" "5449" "5450"
[5451] "5451" "5452" "5453" "5454" "5455" "5456" "5457" "5458" "5459" "5460"
[5461] "5461" "5462" "5463" "5464" "5465" "5466" "5467" "5468" "5469" "5470"
[5471] "5471" "5472" "5473" "5474" "5475" "5476" "5477" "5478" "5479" "5480"
[5481] "5481" "5482" "5483" "5484" "5485" "5486" "5487" "5488" "5489" "5490"
[5491] "5491" "5492" "5493" "5494" "5495" "5496" "5497" "5498" "5499" "5500"
[5501] "5501" "5502" "5503" "5504" "5505" "5506" "5507" "5508" "5509" "5510"
[5511] "5511" "5512" "5513" "5514" "5515" "5516" "5517" "5518" "5519" "5520"
[5521] "5521" "5522" "5523" "5524" "5525" "5526" "5527" "5528" "5529" "5530"
[5531] "5531" "5532" "5533" "5534" "5535" "5536" "5537" "5538" "5539" "5540"
[5541] "5541" "5542" "5543" "5544" "5545" "5546" "5547" "5548" "5549" "5550"
[5551] "5551" "5552" "5553" "5554" "5555" "5556" "5557" "5558" "5559" "5560"
[5561] "5561" "5562" "5563" "5564" "5565" "5566" "5567" "5568" "5569" "5570"
[5571] "5571" "5572" "5573" "5574" "5575" "5576" "5577" "5578" "5579" "5580"
[5581] "5581" "5582" "5583" "5584" "5585" "5586" "5587" "5588" "5589" "5590"
[5591] "5591" "5592" "5593" "5594" "5595" "5596" "5597" "5598" "5599" "5600"
[5601] "5601" "5602" "5603" "5604" "5605" "5606" "5607" "5608" "5609" "5610"
[5611] "5611" "5612" "5613" "5614" "5615" "5616" "5617" "5618" "5619" "5620"
[5621] "5621" "5622" "5623" "5624" "5625" "5626" "5627" "5628" "5629" "5630"
[5631] "5631" "5632" "5633" "5634" "5635" "5636" "5637" "5638" "5639" "5640"
[5641] "5641" "5642" "5643" "5644" "5645" "5646" "5647" "5648" "5649" "5650"
[5651] "5651" "5652" "5653" "5654" "5655" "5656" "5657" "5658" "5659" "5660"
[5661] "5661" "5662" "5663" "5664" "5665" "5666" "5667" "5668" "5669" "5670"
[5671] "5671" "5672" "5673" "5674" "5675" "5676" "5677" "5678" "5679" "5680"
[5681] "5681" "5682" "5683" "5684" "5685" "5686" "5687" "5688" "5689" "5690"
[5691] "5691" "5692" "5693" "5694" "5695" "5696" "5697" "5698" "5699" "5700"
[5701] "5701" "5702" "5703" "5704" "5705" "5706" "5707" "5708" "5709" "5710"
[5711] "5711" "5712" "5713" "5714" "5715" "5716" "5717" "5718" "5719" "5720"
[5721] "5721" "5722" "5723" "5724" "5725" "5726" "5727" "5728" "5729" "5730"
[5731] "5731" "5732" "5733" "5734" "5735" "5736" "5737" "5738" "5739" "5740"
[5741] "5741" "5742" "5743" "5744" "5745" "5746" "5747" "5748" "5749" "5750"
[5751] "5751" "5752" "5753" "5754" "5755" "5756" "5757" "5758" "5759" "5760"
[5761] "5761" "5762" "5763" "5764" "5765" "5766" "5767" "5768" "5769" "5770"
[5771] "5771" "5772" "5773" "5774" "5775" "5776" "5777" "5778" "5779" "5780"
[5781] "5781" "5782" "5783" "5784" "5785" "5786" "5787" "5788" "5789" "5790"
[5791] "5791" "5792" "5793" "5794" "5795" "5796" "5797" "5798" "5799" "5800"
[5801] "5801" "5802" "5803" "5804" "5805" "5806" "5807" "5808" "5809" "5810"
[5811] "5811" "5812" "5813" "5814" "5815" "5816" "5817" "5818" "5819" "5820"
[5821] "5821" "5822" "5823" "5824" "5825" "5826" "5827" "5828" "5829" "5830"
[5831] "5831" "5832" "5833" "5834" "5835" "5836" "5837" "5838" "5839" "5840"
[5841] "5841" "5842" "5843" "5844" "5845" "5846" "5847" "5848" "5849" "5850"
[5851] "5851" "5852" "5853" "5854" "5855" "5856" "5857" "5858" "5859" "5860"
[5861] "5861" "5862" "5863" "5864" "5865" "5866" "5867" "5868" "5869" "5870"
[5871] "5871" "5872" "5873" "5874" "5875" "5876" "5877" "5878" "5879" "5880"
[5881] "5881" "5882" "5883" "5884" "5885" "5886" "5887" "5888" "5889" "5890"
[5891] "5891" "5892" "5893" "5894" "5895" "5896" "5897" "5898" "5899" "5900"
[5901] "5901" "5902" "5903" "5904" "5905" "5906" "5907" "5908" "5909" "5910"
[5911] "5911" "5912" "5913" "5914" "5915" "5916" "5917" "5918" "5919" "5920"
[5921] "5921" "5922" "5923" "5924" "5925" "5926" "5927" "5928" "5929" "5930"
[5931] "5931" "5932" "5933" "5934" "5935" "5936" "5937" "5938" "5939" "5940"
[5941] "5941" "5942" "5943" "5944" "5945" "5946" "5947" "5948" "5949" "5950"
[5951] "5951" "5952" "5953" "5954" "5955" "5956" "5957" "5958" "5959" "5960"
[5961] "5961" "5962" "5963" "5964" "5965" "5966" "5967" "5968" "5969" "5970"
[5971] "5971" "5972" "5973" "5974" "5975" "5976" "5977" "5978" "5979" "5980"
[5981] "5981" "5982" "5983" "5984" "5985" "5986" "5987" "5988" "5989" "5990"
[5991] "5991" "5992" "5993" "5994" "5995" "5996" "5997" "5998" "5999" "6000"
[6001] "6001" "6002" "6003" "6004" "6005" "6006" "6007" "6008" "6009" "6010"
[6011] "6011" "6012" "6013" "6014" "6015" "6016" "6017" "6018" "6019" "6020"
[6021] "6021" "6022" "6023" "6024" "6025" "6026" "6027" "6028" "6029" "6030"
[6031] "6031" "6032" "6033" "6034" "6035" "6036" "6037" "6038" "6039" "6040"
[6041] "6041" "6042" "6043" "6044" "6045" "6046" "6047" "6048" "6049" "6050"
[6051] "6051" "6052" "6053" "6054" "6055" "6056" "6057" "6058" "6059" "6060"
[6061] "6061" "6062" "6063" "6064" "6065" "6066" "6067" "6068" "6069" "6070"
[6071] "6071" "6072" "6073" "6074" "6075" "6076" "6077" "6078" "6079" "6080"
[6081] "6081" "6082" "6083" "6084" "6085" "6086" "6087" "6088" "6089" "6090"
[6091] "6091" "6092" "6093" "6094" "6095" "6096" "6097" "6098" "6099" "6100"
[6101] "6101" "6102" "6103" "6104" "6105" "6106" "6107" "6108" "6109" "6110"
[6111] "6111" "6112" "6113" "6114" "6115" "6116" "6117" "6118" "6119" "6120"
[6121] "6121" "6122" "6123" "6124" "6125" "6126" "6127" "6128" "6129" "6130"
[6131] "6131" "6132" "6133" "6134" "6135" "6136" "6137" "6138" "6139" "6140"
[6141] "6141" "6142" "6143" "6144" "6145" "6146" "6147" "6148" "6149" "6150"
[6151] "6151" "6152" "6153" "6154" "6155" "6156" "6157" "6158" "6159" "6160"
[6161] "6161" "6162" "6163" "6164" "6165" "6166" "6167" "6168" "6169" "6170"
[6171] "6171" "6172" "6173" "6174" "6175" "6176" "6177" "6178" "6179" "6180"
[6181] "6181" "6182" "6183" "6184" "6185" "6186" "6187" "6188" "6189" "6190"
[6191] "6191" "6192" "6193" "6194" "6195" "6196" "6197" "6198" "6199" "6200"
[6201] "6201" "6202" "6203" "6204" "6205" "6206" "6207" "6208" "6209" "6210"
[6211] "6211" "6212" "6213" "6214" "6215" "6216" "6217" "6218" "6219" "6220"
[6221] "6221" "6222" "6223" "6224" "6225" "6226" "6227" "6228" "6229" "6230"
[6231] "6231" "6232" "6233" "6234" "6235" "6236" "6237" "6238" "6239" "6240"
[6241] "6241" "6242" "6243" "6244" "6245" "6246" "6247" "6248" "6249" "6250"
[[2]]
[1] "id" "expl1.name" "expl1.val" "expl2.name" "expl2.val"
[6] "pred.name" "pred.val"
Warning message:
system call failed: Cannot allocate memory
biomod2 documentation built on May 2, 2019, 5:08 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Adaptation of the Evaluation Strip method proposed by Elith et al.(2005). This function enables to plot the response curves of a model independently of the algorithm used for building the model. It therefore permits a direct comparison of predicted responses from the different statistical approaches on the same data.
Usage
1 2 3 4 5 6 7 8 9 10 |
Arguments
models |
a character vector specifying the models for which the response curves have to be plotted. Compatible with GAM, GBM, GLM, ANN, CTA, RF, FDA, MARS and MAXENT. |
Data |
a dataframe containing the variables for which the response curves have to be plotted. They must have the same names as the ones used to calibrate the model. RasterStack are also supported. |
show.variables |
the names or the column numbers of 'Data' for selecting the variables to be plotted. By default all columns are taken |
do.bivariate |
'logical', if FALSE (default), the predicted response curves are plotted for every singe variable independently (2-D dimension). If TRUE, the predicted response curves are represented in 3-D for all pairs of variables |
fixed.var.metric |
either 'mean' (default), 'median', 'min' or 'max' specifying the statistic used to fix as constant the remaining variables when the predicted response is estimated for one of the variables |
save.file |
can be set to "pdf", "jpeg" or "tiff" to save the plot. Pdf options can be changed by setting the default values of pdf.options(). |
name |
the name of the file produced if save.file is different to "no" (extensions are already included) |
ImageSize |
the size of the image in pixels if save.file is different to "no". Affects "jpeg" and "tiff" outputs only. Default if 480 pixels which is the R default. |
plot |
if TRUE (the default) then a plot is produced |
... |
further arguments :
|
Details
For building the predicted response curves, n-1 variables are set constant to a fixed value (mean, median, min or max i.e fixed.var.metric arg) and only the remaining one (resp. 2 for 3D response plot) is varying across its whole range (given by Data). n the case of categorical variable, the most represented class is taken. The variations observed and the curve thus obtained shows the sensibility of the model to that specific variable. This method does not account for interactions between variables.
In the evaluation strip initially proposed by Elith et al. 2005 the remaining variables are set to the mean.
Value
a 4D array is returned. It contains the necessary outputs to produce the plots. This is useful to make your own custom response plot graphics.
Array returned structure :
First dimension: the dimension of the predictions
Second dimension: 2 or 3 columns: The first one (resp. the first two) is (are) the explanatory variable(s) to plot, the last one, the probability of occurrence
Third dimension: The set of environmental variables for which the response.plot was asked to run.
Fourth dimension: the selected models
Author(s)
Wilfried Thuiller, Damien Georgs
References
Elith, J., Ferrier, S., Huettmann, FALSE. & Leathwick, J. R. 2005 The evaluation strip: A new and robust method for plotting predicted responses from species distribution models. Ecological Modelling 186, 280-289.
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | ## Not run:
# species occurrences
DataSpecies <- read.csv(system.file("external/species/mammals_table.csv",
package="biomod2"), row.names = 1)
head(DataSpecies)
# the name of studied species
myRespName <- 'VulpesVulpes'
# the presence/absences data for our species
myResp <- as.numeric(DataSpecies[,myRespName])
# the XY coordinates of species data
myRespXY <- DataSpecies[,c("X_WGS84","Y_WGS84")]
# Environmental variables extracted from BIOCLIM (bio_3, bio_4, bio_7, bio_11 & bio_12)
myExpl = raster::stack( system.file( "external/bioclim/current/bio3.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio4.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio7.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio11.grd",
package="biomod2"),
system.file( "external/bioclim/current/bio12.grd",
package="biomod2"))
# 1. Formatting Data
myBiomodData <- BIOMOD_FormatingData(resp.var = myResp,
expl.var = myExpl,
resp.xy = myRespXY,
resp.name = myRespName)
# 2. Defining Models Options using default options.
myBiomodOption <- BIOMOD_ModelingOptions()
# 3. Doing Modelisation
myBiomodModelOut <- BIOMOD_Modeling( myBiomodData,
models = c('RF','GLM'),
models.options = myBiomodOption,
NbRunEval=2,
DataSplit=80,
Prevalence=0.5,
VarImport=0,
models.eval.meth = c('TSS'),
SaveObj = TRUE,
do.full.models=FALSE)
# 4. Plot response curves
# 4.1 Load the models for which we want to extract the predicted response curves
myGLMs <- BIOMOD_LoadModels(myBiomodModelOut, models='GLM')
# 4.2 plot 2D response plots
myRespPlot2D <- response.plot2(models = myGLMs,
Data = get_formal_data(myBiomodModelOut,'expl.var'),
show.variables= get_formal_data(myBiomodModelOut,'expl.var.names'),
do.bivariate = FALSE,
fixed.var.metric = 'median',
col = c("blue", "red"),
legend = TRUE,
data_species = get_formal_data(myBiomodModelOut,'resp.var'))
# 4.2 plot 3D response plots
## here only for a lone model (i.e "VulpesVulpes_PA1_AllData_GLM")
myRespPlot3D <- response.plot2(models = myGLMs[1],
Data = get_formal_data(myBiomodModelOut,'expl.var'),
show.variables= get_formal_data(myBiomodModelOut,'expl.var.names'),
do.bivariate = TRUE,
fixed.var.metric = 'median',
data_species = get_formal_data(myBiomodModelOut,'resp.var'),
display_title=FALSE)
### all the values used to produce this plot are stored into the returned object
### you can redo plots by yourself and customised them
dim(myRespPlot2D)
dimnames(myRespPlot2D)
dim(myRespPlot3D)
dimnames(myRespPlot3D)
## End(Not run)
|
Example output
biomod2 3.4.6 loaded.
Type browseVignettes(package='biomod2') to access directly biomod2 vignettes.
X_WGS84 Y_WGS84 ConnochaetesGnou GuloGulo PantheraOnca PteropusGiganteus
1 -94.5 82.00001 0 0 0 0
2 -91.5 82.00001 0 1 0 0
3 -88.5 82.00001 0 1 0 0
4 -85.5 82.00001 0 1 0 0
5 -82.5 82.00001 0 1 0 0
6 -79.5 82.00001 0 1 0 0
TenrecEcaudatus VulpesVulpes
1 0 0
2 0 0
3 0 0
4 0 0
5 0 0
6 0 0
-=-=-=-=-=-=-=-=-=-=-=-=-= VulpesVulpes Data Formating -=-=-=-=-=-=-=-=-=-=-=-=-=
> No pseudo absences selection !
! No data has been set aside for modeling evaluation
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Done -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Loading required library...
Checking Models arguments...
Creating suitable Workdir...
> Automatic weights creation to rise a 0.5 prevalence
-=-=-=-=-=-=-=-=-=-=-=-= VulpesVulpes Modeling Summary -=-=-=-=-=-=-=-=-=-=-=-=
5 environmental variables ( bio3 bio4 bio7 bio11 bio12 )
Number of evaluation repetitions : 2
Models selected : RF GLM
Total number of model runs : 4
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
-=-=-=- Run : VulpesVulpes_AllData
-=-=-=--=-=-=- VulpesVulpes_AllData_RUN1
Model=Breiman and Cutler's random forests for classification and regressionError : cannot allocate vector of size 15.2 Mb
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'object' in selecting a method for function 'predict': object 'model.bm' not found
*** inherits(g.pred,'try-error')
! Note : VulpesVulpes_AllData_RUN1_RF failed!
Model=GLM ( quadratic with no interaction )
Stepwise procedure using AIC criteria
selected formula : VulpesVulpes ~ bio7 + bio3 + bio11 + bio12 + bio4
<environment: 0x56071b1eb100>
Evaluating Model stuff...
-=-=-=--=-=-=- VulpesVulpes_AllData_RUN2
Model=Breiman and Cutler's random forests for classification and regressionError : cannot allocate vector of size 15.2 Mb
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'object' in selecting a method for function 'predict': object 'model.bm' not found
*** inherits(g.pred,'try-error')
! Note : VulpesVulpes_AllData_RUN2_RF failed!
Model=GLM ( quadratic with no interaction )
Stepwise procedure using AIC criteria
selected formula : VulpesVulpes ~ bio7 + bio3 + bio11 + bio12 + bio4
<environment: 0x56071b127890>
Evaluating Model stuff...
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Done -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
[1] 1000 5
[[1]]
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
[11] "11" "12" "13" "14" "15" "16" "17" "18" "19" "20"
[21] "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40"
[41] "41" "42" "43" "44" "45" "46" "47" "48" "49" "50"
[51] "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70"
[71] "71" "72" "73" "74" "75" "76" "77" "78" "79" "80"
[81] "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
[91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100"
[101] "101" "102" "103" "104" "105" "106" "107" "108" "109" "110"
[111] "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
[121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130"
[131] "131" "132" "133" "134" "135" "136" "137" "138" "139" "140"
[141] "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
[151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160"
[161] "161" "162" "163" "164" "165" "166" "167" "168" "169" "170"
[171] "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
[181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190"
[191] "191" "192" "193" "194" "195" "196" "197" "198" "199" "200"
[201] "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"
[211] "211" "212" "213" "214" "215" "216" "217" "218" "219" "220"
[221] "221" "222" "223" "224" "225" "226" "227" "228" "229" "230"
[231] "231" "232" "233" "234" "235" "236" "237" "238" "239" "240"
[241] "241" "242" "243" "244" "245" "246" "247" "248" "249" "250"
[251] "251" "252" "253" "254" "255" "256" "257" "258" "259" "260"
[261] "261" "262" "263" "264" "265" "266" "267" "268" "269" "270"
[271] "271" "272" "273" "274" "275" "276" "277" "278" "279" "280"
[281] "281" "282" "283" "284" "285" "286" "287" "288" "289" "290"
[291] "291" "292" "293" "294" "295" "296" "297" "298" "299" "300"
[301] "301" "302" "303" "304" "305" "306" "307" "308" "309" "310"
[311] "311" "312" "313" "314" "315" "316" "317" "318" "319" "320"
[321] "321" "322" "323" "324" "325" "326" "327" "328" "329" "330"
[331] "331" "332" "333" "334" "335" "336" "337" "338" "339" "340"
[341] "341" "342" "343" "344" "345" "346" "347" "348" "349" "350"
[351] "351" "352" "353" "354" "355" "356" "357" "358" "359" "360"
[361] "361" "362" "363" "364" "365" "366" "367" "368" "369" "370"
[371] "371" "372" "373" "374" "375" "376" "377" "378" "379" "380"
[381] "381" "382" "383" "384" "385" "386" "387" "388" "389" "390"
[391] "391" "392" "393" "394" "395" "396" "397" "398" "399" "400"
[401] "401" "402" "403" "404" "405" "406" "407" "408" "409" "410"
[411] "411" "412" "413" "414" "415" "416" "417" "418" "419" "420"
[421] "421" "422" "423" "424" "425" "426" "427" "428" "429" "430"
[431] "431" "432" "433" "434" "435" "436" "437" "438" "439" "440"
[441] "441" "442" "443" "444" "445" "446" "447" "448" "449" "450"
[451] "451" "452" "453" "454" "455" "456" "457" "458" "459" "460"
[461] "461" "462" "463" "464" "465" "466" "467" "468" "469" "470"
[471] "471" "472" "473" "474" "475" "476" "477" "478" "479" "480"
[481] "481" "482" "483" "484" "485" "486" "487" "488" "489" "490"
[491] "491" "492" "493" "494" "495" "496" "497" "498" "499" "500"
[501] "501" "502" "503" "504" "505" "506" "507" "508" "509" "510"
[511] "511" "512" "513" "514" "515" "516" "517" "518" "519" "520"
[521] "521" "522" "523" "524" "525" "526" "527" "528" "529" "530"
[531] "531" "532" "533" "534" "535" "536" "537" "538" "539" "540"
[541] "541" "542" "543" "544" "545" "546" "547" "548" "549" "550"
[551] "551" "552" "553" "554" "555" "556" "557" "558" "559" "560"
[561] "561" "562" "563" "564" "565" "566" "567" "568" "569" "570"
[571] "571" "572" "573" "574" "575" "576" "577" "578" "579" "580"
[581] "581" "582" "583" "584" "585" "586" "587" "588" "589" "590"
[591] "591" "592" "593" "594" "595" "596" "597" "598" "599" "600"
[601] "601" "602" "603" "604" "605" "606" "607" "608" "609" "610"
[611] "611" "612" "613" "614" "615" "616" "617" "618" "619" "620"
[621] "621" "622" "623" "624" "625" "626" "627" "628" "629" "630"
[631] "631" "632" "633" "634" "635" "636" "637" "638" "639" "640"
[641] "641" "642" "643" "644" "645" "646" "647" "648" "649" "650"
[651] "651" "652" "653" "654" "655" "656" "657" "658" "659" "660"
[661] "661" "662" "663" "664" "665" "666" "667" "668" "669" "670"
[671] "671" "672" "673" "674" "675" "676" "677" "678" "679" "680"
[681] "681" "682" "683" "684" "685" "686" "687" "688" "689" "690"
[691] "691" "692" "693" "694" "695" "696" "697" "698" "699" "700"
[701] "701" "702" "703" "704" "705" "706" "707" "708" "709" "710"
[711] "711" "712" "713" "714" "715" "716" "717" "718" "719" "720"
[721] "721" "722" "723" "724" "725" "726" "727" "728" "729" "730"
[731] "731" "732" "733" "734" "735" "736" "737" "738" "739" "740"
[741] "741" "742" "743" "744" "745" "746" "747" "748" "749" "750"
[751] "751" "752" "753" "754" "755" "756" "757" "758" "759" "760"
[761] "761" "762" "763" "764" "765" "766" "767" "768" "769" "770"
[771] "771" "772" "773" "774" "775" "776" "777" "778" "779" "780"
[781] "781" "782" "783" "784" "785" "786" "787" "788" "789" "790"
[791] "791" "792" "793" "794" "795" "796" "797" "798" "799" "800"
[801] "801" "802" "803" "804" "805" "806" "807" "808" "809" "810"
[811] "811" "812" "813" "814" "815" "816" "817" "818" "819" "820"
[821] "821" "822" "823" "824" "825" "826" "827" "828" "829" "830"
[831] "831" "832" "833" "834" "835" "836" "837" "838" "839" "840"
[841] "841" "842" "843" "844" "845" "846" "847" "848" "849" "850"
[851] "851" "852" "853" "854" "855" "856" "857" "858" "859" "860"
[861] "861" "862" "863" "864" "865" "866" "867" "868" "869" "870"
[871] "871" "872" "873" "874" "875" "876" "877" "878" "879" "880"
[881] "881" "882" "883" "884" "885" "886" "887" "888" "889" "890"
[891] "891" "892" "893" "894" "895" "896" "897" "898" "899" "900"
[901] "901" "902" "903" "904" "905" "906" "907" "908" "909" "910"
[911] "911" "912" "913" "914" "915" "916" "917" "918" "919" "920"
[921] "921" "922" "923" "924" "925" "926" "927" "928" "929" "930"
[931] "931" "932" "933" "934" "935" "936" "937" "938" "939" "940"
[941] "941" "942" "943" "944" "945" "946" "947" "948" "949" "950"
[951] "951" "952" "953" "954" "955" "956" "957" "958" "959" "960"
[961] "961" "962" "963" "964" "965" "966" "967" "968" "969" "970"
[971] "971" "972" "973" "974" "975" "976" "977" "978" "979" "980"
[981] "981" "982" "983" "984" "985" "986" "987" "988" "989" "990"
[991] "991" "992" "993" "994" "995" "996" "997" "998" "999" "1000"
[[2]]
[1] "id" "expl.name" "expl.val" "pred.name" "pred.val"
[1] 6250 7
[[1]]
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
[11] "11" "12" "13" "14" "15" "16" "17" "18" "19" "20"
[21] "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40"
[41] "41" "42" "43" "44" "45" "46" "47" "48" "49" "50"
[51] "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70"
[71] "71" "72" "73" "74" "75" "76" "77" "78" "79" "80"
[81] "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
[91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100"
[101] "101" "102" "103" "104" "105" "106" "107" "108" "109" "110"
[111] "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
[121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130"
[131] "131" "132" "133" "134" "135" "136" "137" "138" "139" "140"
[141] "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
[151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160"
[161] "161" "162" "163" "164" "165" "166" "167" "168" "169" "170"
[171] "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
[181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190"
[191] "191" "192" "193" "194" "195" "196" "197" "198" "199" "200"
[201] "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"
[211] "211" "212" "213" "214" "215" "216" "217" "218" "219" "220"
[221] "221" "222" "223" "224" "225" "226" "227" "228" "229" "230"
[231] "231" "232" "233" "234" "235" "236" "237" "238" "239" "240"
[241] "241" "242" "243" "244" "245" "246" "247" "248" "249" "250"
[251] "251" "252" "253" "254" "255" "256" "257" "258" "259" "260"
[261] "261" "262" "263" "264" "265" "266" "267" "268" "269" "270"
[271] "271" "272" "273" "274" "275" "276" "277" "278" "279" "280"
[281] "281" "282" "283" "284" "285" "286" "287" "288" "289" "290"
[291] "291" "292" "293" "294" "295" "296" "297" "298" "299" "300"
[301] "301" "302" "303" "304" "305" "306" "307" "308" "309" "310"
[311] "311" "312" "313" "314" "315" "316" "317" "318" "319" "320"
[321] "321" "322" "323" "324" "325" "326" "327" "328" "329" "330"
[331] "331" "332" "333" "334" "335" "336" "337" "338" "339" "340"
[341] "341" "342" "343" "344" "345" "346" "347" "348" "349" "350"
[351] "351" "352" "353" "354" "355" "356" "357" "358" "359" "360"
[361] "361" "362" "363" "364" "365" "366" "367" "368" "369" "370"
[371] "371" "372" "373" "374" "375" "376" "377" "378" "379" "380"
[381] "381" "382" "383" "384" "385" "386" "387" "388" "389" "390"
[391] "391" "392" "393" "394" "395" "396" "397" "398" "399" "400"
[401] "401" "402" "403" "404" "405" "406" "407" "408" "409" "410"
[411] "411" "412" "413" "414" "415" "416" "417" "418" "419" "420"
[421] "421" "422" "423" "424" "425" "426" "427" "428" "429" "430"
[431] "431" "432" "433" "434" "435" "436" "437" "438" "439" "440"
[441] "441" "442" "443" "444" "445" "446" "447" "448" "449" "450"
[451] "451" "452" "453" "454" "455" "456" "457" "458" "459" "460"
[461] "461" "462" "463" "464" "465" "466" "467" "468" "469" "470"
[471] "471" "472" "473" "474" "475" "476" "477" "478" "479" "480"
[481] "481" "482" "483" "484" "485" "486" "487" "488" "489" "490"
[491] "491" "492" "493" "494" "495" "496" "497" "498" "499" "500"
[501] "501" "502" "503" "504" "505" "506" "507" "508" "509" "510"
[511] "511" "512" "513" "514" "515" "516" "517" "518" "519" "520"
[521] "521" "522" "523" "524" "525" "526" "527" "528" "529" "530"
[531] "531" "532" "533" "534" "535" "536" "537" "538" "539" "540"
[541] "541" "542" "543" "544" "545" "546" "547" "548" "549" "550"
[551] "551" "552" "553" "554" "555" "556" "557" "558" "559" "560"
[561] "561" "562" "563" "564" "565" "566" "567" "568" "569" "570"
[571] "571" "572" "573" "574" "575" "576" "577" "578" "579" "580"
[581] "581" "582" "583" "584" "585" "586" "587" "588" "589" "590"
[591] "591" "592" "593" "594" "595" "596" "597" "598" "599" "600"
[601] "601" "602" "603" "604" "605" "606" "607" "608" "609" "610"
[611] "611" "612" "613" "614" "615" "616" "617" "618" "619" "620"
[621] "621" "622" "623" "624" "625" "626" "627" "628" "629" "630"
[631] "631" "632" "633" "634" "635" "636" "637" "638" "639" "640"
[641] "641" "642" "643" "644" "645" "646" "647" "648" "649" "650"
[651] "651" "652" "653" "654" "655" "656" "657" "658" "659" "660"
[661] "661" "662" "663" "664" "665" "666" "667" "668" "669" "670"
[671] "671" "672" "673" "674" "675" "676" "677" "678" "679" "680"
[681] "681" "682" "683" "684" "685" "686" "687" "688" "689" "690"
[691] "691" "692" "693" "694" "695" "696" "697" "698" "699" "700"
[701] "701" "702" "703" "704" "705" "706" "707" "708" "709" "710"
[711] "711" "712" "713" "714" "715" "716" "717" "718" "719" "720"
[721] "721" "722" "723" "724" "725" "726" "727" "728" "729" "730"
[731] "731" "732" "733" "734" "735" "736" "737" "738" "739" "740"
[741] "741" "742" "743" "744" "745" "746" "747" "748" "749" "750"
[751] "751" "752" "753" "754" "755" "756" "757" "758" "759" "760"
[761] "761" "762" "763" "764" "765" "766" "767" "768" "769" "770"
[771] "771" "772" "773" "774" "775" "776" "777" "778" "779" "780"
[781] "781" "782" "783" "784" "785" "786" "787" "788" "789" "790"
[791] "791" "792" "793" "794" "795" "796" "797" "798" "799" "800"
[801] "801" "802" "803" "804" "805" "806" "807" "808" "809" "810"
[811] "811" "812" "813" "814" "815" "816" "817" "818" "819" "820"
[821] "821" "822" "823" "824" "825" "826" "827" "828" "829" "830"
[831] "831" "832" "833" "834" "835" "836" "837" "838" "839" "840"
[841] "841" "842" "843" "844" "845" "846" "847" "848" "849" "850"
[851] "851" "852" "853" "854" "855" "856" "857" "858" "859" "860"
[861] "861" "862" "863" "864" "865" "866" "867" "868" "869" "870"
[871] "871" "872" "873" "874" "875" "876" "877" "878" "879" "880"
[881] "881" "882" "883" "884" "885" "886" "887" "888" "889" "890"
[891] "891" "892" "893" "894" "895" "896" "897" "898" "899" "900"
[901] "901" "902" "903" "904" "905" "906" "907" "908" "909" "910"
[911] "911" "912" "913" "914" "915" "916" "917" "918" "919" "920"
[921] "921" "922" "923" "924" "925" "926" "927" "928" "929" "930"
[931] "931" "932" "933" "934" "935" "936" "937" "938" "939" "940"
[941] "941" "942" "943" "944" "945" "946" "947" "948" "949" "950"
[951] "951" "952" "953" "954" "955" "956" "957" "958" "959" "960"
[961] "961" "962" "963" "964" "965" "966" "967" "968" "969" "970"
[971] "971" "972" "973" "974" "975" "976" "977" "978" "979" "980"
[981] "981" "982" "983" "984" "985" "986" "987" "988" "989" "990"
[991] "991" "992" "993" "994" "995" "996" "997" "998" "999" "1000"
[1001] "1001" "1002" "1003" "1004" "1005" "1006" "1007" "1008" "1009" "1010"
[1011] "1011" "1012" "1013" "1014" "1015" "1016" "1017" "1018" "1019" "1020"
[1021] "1021" "1022" "1023" "1024" "1025" "1026" "1027" "1028" "1029" "1030"
[1031] "1031" "1032" "1033" "1034" "1035" "1036" "1037" "1038" "1039" "1040"
[1041] "1041" "1042" "1043" "1044" "1045" "1046" "1047" "1048" "1049" "1050"
[1051] "1051" "1052" "1053" "1054" "1055" "1056" "1057" "1058" "1059" "1060"
[1061] "1061" "1062" "1063" "1064" "1065" "1066" "1067" "1068" "1069" "1070"
[1071] "1071" "1072" "1073" "1074" "1075" "1076" "1077" "1078" "1079" "1080"
[1081] "1081" "1082" "1083" "1084" "1085" "1086" "1087" "1088" "1089" "1090"
[1091] "1091" "1092" "1093" "1094" "1095" "1096" "1097" "1098" "1099" "1100"
[1101] "1101" "1102" "1103" "1104" "1105" "1106" "1107" "1108" "1109" "1110"
[1111] "1111" "1112" "1113" "1114" "1115" "1116" "1117" "1118" "1119" "1120"
[1121] "1121" "1122" "1123" "1124" "1125" "1126" "1127" "1128" "1129" "1130"
[1131] "1131" "1132" "1133" "1134" "1135" "1136" "1137" "1138" "1139" "1140"
[1141] "1141" "1142" "1143" "1144" "1145" "1146" "1147" "1148" "1149" "1150"
[1151] "1151" "1152" "1153" "1154" "1155" "1156" "1157" "1158" "1159" "1160"
[1161] "1161" "1162" "1163" "1164" "1165" "1166" "1167" "1168" "1169" "1170"
[1171] "1171" "1172" "1173" "1174" "1175" "1176" "1177" "1178" "1179" "1180"
[1181] "1181" "1182" "1183" "1184" "1185" "1186" "1187" "1188" "1189" "1190"
[1191] "1191" "1192" "1193" "1194" "1195" "1196" "1197" "1198" "1199" "1200"
[1201] "1201" "1202" "1203" "1204" "1205" "1206" "1207" "1208" "1209" "1210"
[1211] "1211" "1212" "1213" "1214" "1215" "1216" "1217" "1218" "1219" "1220"
[1221] "1221" "1222" "1223" "1224" "1225" "1226" "1227" "1228" "1229" "1230"
[1231] "1231" "1232" "1233" "1234" "1235" "1236" "1237" "1238" "1239" "1240"
[1241] "1241" "1242" "1243" "1244" "1245" "1246" "1247" "1248" "1249" "1250"
[1251] "1251" "1252" "1253" "1254" "1255" "1256" "1257" "1258" "1259" "1260"
[1261] "1261" "1262" "1263" "1264" "1265" "1266" "1267" "1268" "1269" "1270"
[1271] "1271" "1272" "1273" "1274" "1275" "1276" "1277" "1278" "1279" "1280"
[1281] "1281" "1282" "1283" "1284" "1285" "1286" "1287" "1288" "1289" "1290"
[1291] "1291" "1292" "1293" "1294" "1295" "1296" "1297" "1298" "1299" "1300"
[1301] "1301" "1302" "1303" "1304" "1305" "1306" "1307" "1308" "1309" "1310"
[1311] "1311" "1312" "1313" "1314" "1315" "1316" "1317" "1318" "1319" "1320"
[1321] "1321" "1322" "1323" "1324" "1325" "1326" "1327" "1328" "1329" "1330"
[1331] "1331" "1332" "1333" "1334" "1335" "1336" "1337" "1338" "1339" "1340"
[1341] "1341" "1342" "1343" "1344" "1345" "1346" "1347" "1348" "1349" "1350"
[1351] "1351" "1352" "1353" "1354" "1355" "1356" "1357" "1358" "1359" "1360"
[1361] "1361" "1362" "1363" "1364" "1365" "1366" "1367" "1368" "1369" "1370"
[1371] "1371" "1372" "1373" "1374" "1375" "1376" "1377" "1378" "1379" "1380"
[1381] "1381" "1382" "1383" "1384" "1385" "1386" "1387" "1388" "1389" "1390"
[1391] "1391" "1392" "1393" "1394" "1395" "1396" "1397" "1398" "1399" "1400"
[1401] "1401" "1402" "1403" "1404" "1405" "1406" "1407" "1408" "1409" "1410"
[1411] "1411" "1412" "1413" "1414" "1415" "1416" "1417" "1418" "1419" "1420"
[1421] "1421" "1422" "1423" "1424" "1425" "1426" "1427" "1428" "1429" "1430"
[1431] "1431" "1432" "1433" "1434" "1435" "1436" "1437" "1438" "1439" "1440"
[1441] "1441" "1442" "1443" "1444" "1445" "1446" "1447" "1448" "1449" "1450"
[1451] "1451" "1452" "1453" "1454" "1455" "1456" "1457" "1458" "1459" "1460"
[1461] "1461" "1462" "1463" "1464" "1465" "1466" "1467" "1468" "1469" "1470"
[1471] "1471" "1472" "1473" "1474" "1475" "1476" "1477" "1478" "1479" "1480"
[1481] "1481" "1482" "1483" "1484" "1485" "1486" "1487" "1488" "1489" "1490"
[1491] "1491" "1492" "1493" "1494" "1495" "1496" "1497" "1498" "1499" "1500"
[1501] "1501" "1502" "1503" "1504" "1505" "1506" "1507" "1508" "1509" "1510"
[1511] "1511" "1512" "1513" "1514" "1515" "1516" "1517" "1518" "1519" "1520"
[1521] "1521" "1522" "1523" "1524" "1525" "1526" "1527" "1528" "1529" "1530"
[1531] "1531" "1532" "1533" "1534" "1535" "1536" "1537" "1538" "1539" "1540"
[1541] "1541" "1542" "1543" "1544" "1545" "1546" "1547" "1548" "1549" "1550"
[1551] "1551" "1552" "1553" "1554" "1555" "1556" "1557" "1558" "1559" "1560"
[1561] "1561" "1562" "1563" "1564" "1565" "1566" "1567" "1568" "1569" "1570"
[1571] "1571" "1572" "1573" "1574" "1575" "1576" "1577" "1578" "1579" "1580"
[1581] "1581" "1582" "1583" "1584" "1585" "1586" "1587" "1588" "1589" "1590"
[1591] "1591" "1592" "1593" "1594" "1595" "1596" "1597" "1598" "1599" "1600"
[1601] "1601" "1602" "1603" "1604" "1605" "1606" "1607" "1608" "1609" "1610"
[1611] "1611" "1612" "1613" "1614" "1615" "1616" "1617" "1618" "1619" "1620"
[1621] "1621" "1622" "1623" "1624" "1625" "1626" "1627" "1628" "1629" "1630"
[1631] "1631" "1632" "1633" "1634" "1635" "1636" "1637" "1638" "1639" "1640"
[1641] "1641" "1642" "1643" "1644" "1645" "1646" "1647" "1648" "1649" "1650"
[1651] "1651" "1652" "1653" "1654" "1655" "1656" "1657" "1658" "1659" "1660"
[1661] "1661" "1662" "1663" "1664" "1665" "1666" "1667" "1668" "1669" "1670"
[1671] "1671" "1672" "1673" "1674" "1675" "1676" "1677" "1678" "1679" "1680"
[1681] "1681" "1682" "1683" "1684" "1685" "1686" "1687" "1688" "1689" "1690"
[1691] "1691" "1692" "1693" "1694" "1695" "1696" "1697" "1698" "1699" "1700"
[1701] "1701" "1702" "1703" "1704" "1705" "1706" "1707" "1708" "1709" "1710"
[1711] "1711" "1712" "1713" "1714" "1715" "1716" "1717" "1718" "1719" "1720"
[1721] "1721" "1722" "1723" "1724" "1725" "1726" "1727" "1728" "1729" "1730"
[1731] "1731" "1732" "1733" "1734" "1735" "1736" "1737" "1738" "1739" "1740"
[1741] "1741" "1742" "1743" "1744" "1745" "1746" "1747" "1748" "1749" "1750"
[1751] "1751" "1752" "1753" "1754" "1755" "1756" "1757" "1758" "1759" "1760"
[1761] "1761" "1762" "1763" "1764" "1765" "1766" "1767" "1768" "1769" "1770"
[1771] "1771" "1772" "1773" "1774" "1775" "1776" "1777" "1778" "1779" "1780"
[1781] "1781" "1782" "1783" "1784" "1785" "1786" "1787" "1788" "1789" "1790"
[1791] "1791" "1792" "1793" "1794" "1795" "1796" "1797" "1798" "1799" "1800"
[1801] "1801" "1802" "1803" "1804" "1805" "1806" "1807" "1808" "1809" "1810"
[1811] "1811" "1812" "1813" "1814" "1815" "1816" "1817" "1818" "1819" "1820"
[1821] "1821" "1822" "1823" "1824" "1825" "1826" "1827" "1828" "1829" "1830"
[1831] "1831" "1832" "1833" "1834" "1835" "1836" "1837" "1838" "1839" "1840"
[1841] "1841" "1842" "1843" "1844" "1845" "1846" "1847" "1848" "1849" "1850"
[1851] "1851" "1852" "1853" "1854" "1855" "1856" "1857" "1858" "1859" "1860"
[1861] "1861" "1862" "1863" "1864" "1865" "1866" "1867" "1868" "1869" "1870"
[1871] "1871" "1872" "1873" "1874" "1875" "1876" "1877" "1878" "1879" "1880"
[1881] "1881" "1882" "1883" "1884" "1885" "1886" "1887" "1888" "1889" "1890"
[1891] "1891" "1892" "1893" "1894" "1895" "1896" "1897" "1898" "1899" "1900"
[1901] "1901" "1902" "1903" "1904" "1905" "1906" "1907" "1908" "1909" "1910"
[1911] "1911" "1912" "1913" "1914" "1915" "1916" "1917" "1918" "1919" "1920"
[1921] "1921" "1922" "1923" "1924" "1925" "1926" "1927" "1928" "1929" "1930"
[1931] "1931" "1932" "1933" "1934" "1935" "1936" "1937" "1938" "1939" "1940"
[1941] "1941" "1942" "1943" "1944" "1945" "1946" "1947" "1948" "1949" "1950"
[1951] "1951" "1952" "1953" "1954" "1955" "1956" "1957" "1958" "1959" "1960"
[1961] "1961" "1962" "1963" "1964" "1965" "1966" "1967" "1968" "1969" "1970"
[1971] "1971" "1972" "1973" "1974" "1975" "1976" "1977" "1978" "1979" "1980"
[1981] "1981" "1982" "1983" "1984" "1985" "1986" "1987" "1988" "1989" "1990"
[1991] "1991" "1992" "1993" "1994" "1995" "1996" "1997" "1998" "1999" "2000"
[2001] "2001" "2002" "2003" "2004" "2005" "2006" "2007" "2008" "2009" "2010"
[2011] "2011" "2012" "2013" "2014" "2015" "2016" "2017" "2018" "2019" "2020"
[2021] "2021" "2022" "2023" "2024" "2025" "2026" "2027" "2028" "2029" "2030"
[2031] "2031" "2032" "2033" "2034" "2035" "2036" "2037" "2038" "2039" "2040"
[2041] "2041" "2042" "2043" "2044" "2045" "2046" "2047" "2048" "2049" "2050"
[2051] "2051" "2052" "2053" "2054" "2055" "2056" "2057" "2058" "2059" "2060"
[2061] "2061" "2062" "2063" "2064" "2065" "2066" "2067" "2068" "2069" "2070"
[2071] "2071" "2072" "2073" "2074" "2075" "2076" "2077" "2078" "2079" "2080"
[2081] "2081" "2082" "2083" "2084" "2085" "2086" "2087" "2088" "2089" "2090"
[2091] "2091" "2092" "2093" "2094" "2095" "2096" "2097" "2098" "2099" "2100"
[2101] "2101" "2102" "2103" "2104" "2105" "2106" "2107" "2108" "2109" "2110"
[2111] "2111" "2112" "2113" "2114" "2115" "2116" "2117" "2118" "2119" "2120"
[2121] "2121" "2122" "2123" "2124" "2125" "2126" "2127" "2128" "2129" "2130"
[2131] "2131" "2132" "2133" "2134" "2135" "2136" "2137" "2138" "2139" "2140"
[2141] "2141" "2142" "2143" "2144" "2145" "2146" "2147" "2148" "2149" "2150"
[2151] "2151" "2152" "2153" "2154" "2155" "2156" "2157" "2158" "2159" "2160"
[2161] "2161" "2162" "2163" "2164" "2165" "2166" "2167" "2168" "2169" "2170"
[2171] "2171" "2172" "2173" "2174" "2175" "2176" "2177" "2178" "2179" "2180"
[2181] "2181" "2182" "2183" "2184" "2185" "2186" "2187" "2188" "2189" "2190"
[2191] "2191" "2192" "2193" "2194" "2195" "2196" "2197" "2198" "2199" "2200"
[2201] "2201" "2202" "2203" "2204" "2205" "2206" "2207" "2208" "2209" "2210"
[2211] "2211" "2212" "2213" "2214" "2215" "2216" "2217" "2218" "2219" "2220"
[2221] "2221" "2222" "2223" "2224" "2225" "2226" "2227" "2228" "2229" "2230"
[2231] "2231" "2232" "2233" "2234" "2235" "2236" "2237" "2238" "2239" "2240"
[2241] "2241" "2242" "2243" "2244" "2245" "2246" "2247" "2248" "2249" "2250"
[2251] "2251" "2252" "2253" "2254" "2255" "2256" "2257" "2258" "2259" "2260"
[2261] "2261" "2262" "2263" "2264" "2265" "2266" "2267" "2268" "2269" "2270"
[2271] "2271" "2272" "2273" "2274" "2275" "2276" "2277" "2278" "2279" "2280"
[2281] "2281" "2282" "2283" "2284" "2285" "2286" "2287" "2288" "2289" "2290"
[2291] "2291" "2292" "2293" "2294" "2295" "2296" "2297" "2298" "2299" "2300"
[2301] "2301" "2302" "2303" "2304" "2305" "2306" "2307" "2308" "2309" "2310"
[2311] "2311" "2312" "2313" "2314" "2315" "2316" "2317" "2318" "2319" "2320"
[2321] "2321" "2322" "2323" "2324" "2325" "2326" "2327" "2328" "2329" "2330"
[2331] "2331" "2332" "2333" "2334" "2335" "2336" "2337" "2338" "2339" "2340"
[2341] "2341" "2342" "2343" "2344" "2345" "2346" "2347" "2348" "2349" "2350"
[2351] "2351" "2352" "2353" "2354" "2355" "2356" "2357" "2358" "2359" "2360"
[2361] "2361" "2362" "2363" "2364" "2365" "2366" "2367" "2368" "2369" "2370"
[2371] "2371" "2372" "2373" "2374" "2375" "2376" "2377" "2378" "2379" "2380"
[2381] "2381" "2382" "2383" "2384" "2385" "2386" "2387" "2388" "2389" "2390"
[2391] "2391" "2392" "2393" "2394" "2395" "2396" "2397" "2398" "2399" "2400"
[2401] "2401" "2402" "2403" "2404" "2405" "2406" "2407" "2408" "2409" "2410"
[2411] "2411" "2412" "2413" "2414" "2415" "2416" "2417" "2418" "2419" "2420"
[2421] "2421" "2422" "2423" "2424" "2425" "2426" "2427" "2428" "2429" "2430"
[2431] "2431" "2432" "2433" "2434" "2435" "2436" "2437" "2438" "2439" "2440"
[2441] "2441" "2442" "2443" "2444" "2445" "2446" "2447" "2448" "2449" "2450"
[2451] "2451" "2452" "2453" "2454" "2455" "2456" "2457" "2458" "2459" "2460"
[2461] "2461" "2462" "2463" "2464" "2465" "2466" "2467" "2468" "2469" "2470"
[2471] "2471" "2472" "2473" "2474" "2475" "2476" "2477" "2478" "2479" "2480"
[2481] "2481" "2482" "2483" "2484" "2485" "2486" "2487" "2488" "2489" "2490"
[2491] "2491" "2492" "2493" "2494" "2495" "2496" "2497" "2498" "2499" "2500"
[2501] "2501" "2502" "2503" "2504" "2505" "2506" "2507" "2508" "2509" "2510"
[2511] "2511" "2512" "2513" "2514" "2515" "2516" "2517" "2518" "2519" "2520"
[2521] "2521" "2522" "2523" "2524" "2525" "2526" "2527" "2528" "2529" "2530"
[2531] "2531" "2532" "2533" "2534" "2535" "2536" "2537" "2538" "2539" "2540"
[2541] "2541" "2542" "2543" "2544" "2545" "2546" "2547" "2548" "2549" "2550"
[2551] "2551" "2552" "2553" "2554" "2555" "2556" "2557" "2558" "2559" "2560"
[2561] "2561" "2562" "2563" "2564" "2565" "2566" "2567" "2568" "2569" "2570"
[2571] "2571" "2572" "2573" "2574" "2575" "2576" "2577" "2578" "2579" "2580"
[2581] "2581" "2582" "2583" "2584" "2585" "2586" "2587" "2588" "2589" "2590"
[2591] "2591" "2592" "2593" "2594" "2595" "2596" "2597" "2598" "2599" "2600"
[2601] "2601" "2602" "2603" "2604" "2605" "2606" "2607" "2608" "2609" "2610"
[2611] "2611" "2612" "2613" "2614" "2615" "2616" "2617" "2618" "2619" "2620"
[2621] "2621" "2622" "2623" "2624" "2625" "2626" "2627" "2628" "2629" "2630"
[2631] "2631" "2632" "2633" "2634" "2635" "2636" "2637" "2638" "2639" "2640"
[2641] "2641" "2642" "2643" "2644" "2645" "2646" "2647" "2648" "2649" "2650"
[2651] "2651" "2652" "2653" "2654" "2655" "2656" "2657" "2658" "2659" "2660"
[2661] "2661" "2662" "2663" "2664" "2665" "2666" "2667" "2668" "2669" "2670"
[2671] "2671" "2672" "2673" "2674" "2675" "2676" "2677" "2678" "2679" "2680"
[2681] "2681" "2682" "2683" "2684" "2685" "2686" "2687" "2688" "2689" "2690"
[2691] "2691" "2692" "2693" "2694" "2695" "2696" "2697" "2698" "2699" "2700"
[2701] "2701" "2702" "2703" "2704" "2705" "2706" "2707" "2708" "2709" "2710"
[2711] "2711" "2712" "2713" "2714" "2715" "2716" "2717" "2718" "2719" "2720"
[2721] "2721" "2722" "2723" "2724" "2725" "2726" "2727" "2728" "2729" "2730"
[2731] "2731" "2732" "2733" "2734" "2735" "2736" "2737" "2738" "2739" "2740"
[2741] "2741" "2742" "2743" "2744" "2745" "2746" "2747" "2748" "2749" "2750"
[2751] "2751" "2752" "2753" "2754" "2755" "2756" "2757" "2758" "2759" "2760"
[2761] "2761" "2762" "2763" "2764" "2765" "2766" "2767" "2768" "2769" "2770"
[2771] "2771" "2772" "2773" "2774" "2775" "2776" "2777" "2778" "2779" "2780"
[2781] "2781" "2782" "2783" "2784" "2785" "2786" "2787" "2788" "2789" "2790"
[2791] "2791" "2792" "2793" "2794" "2795" "2796" "2797" "2798" "2799" "2800"
[2801] "2801" "2802" "2803" "2804" "2805" "2806" "2807" "2808" "2809" "2810"
[2811] "2811" "2812" "2813" "2814" "2815" "2816" "2817" "2818" "2819" "2820"
[2821] "2821" "2822" "2823" "2824" "2825" "2826" "2827" "2828" "2829" "2830"
[2831] "2831" "2832" "2833" "2834" "2835" "2836" "2837" "2838" "2839" "2840"
[2841] "2841" "2842" "2843" "2844" "2845" "2846" "2847" "2848" "2849" "2850"
[2851] "2851" "2852" "2853" "2854" "2855" "2856" "2857" "2858" "2859" "2860"
[2861] "2861" "2862" "2863" "2864" "2865" "2866" "2867" "2868" "2869" "2870"
[2871] "2871" "2872" "2873" "2874" "2875" "2876" "2877" "2878" "2879" "2880"
[2881] "2881" "2882" "2883" "2884" "2885" "2886" "2887" "2888" "2889" "2890"
[2891] "2891" "2892" "2893" "2894" "2895" "2896" "2897" "2898" "2899" "2900"
[2901] "2901" "2902" "2903" "2904" "2905" "2906" "2907" "2908" "2909" "2910"
[2911] "2911" "2912" "2913" "2914" "2915" "2916" "2917" "2918" "2919" "2920"
[2921] "2921" "2922" "2923" "2924" "2925" "2926" "2927" "2928" "2929" "2930"
[2931] "2931" "2932" "2933" "2934" "2935" "2936" "2937" "2938" "2939" "2940"
[2941] "2941" "2942" "2943" "2944" "2945" "2946" "2947" "2948" "2949" "2950"
[2951] "2951" "2952" "2953" "2954" "2955" "2956" "2957" "2958" "2959" "2960"
[2961] "2961" "2962" "2963" "2964" "2965" "2966" "2967" "2968" "2969" "2970"
[2971] "2971" "2972" "2973" "2974" "2975" "2976" "2977" "2978" "2979" "2980"
[2981] "2981" "2982" "2983" "2984" "2985" "2986" "2987" "2988" "2989" "2990"
[2991] "2991" "2992" "2993" "2994" "2995" "2996" "2997" "2998" "2999" "3000"
[3001] "3001" "3002" "3003" "3004" "3005" "3006" "3007" "3008" "3009" "3010"
[3011] "3011" "3012" "3013" "3014" "3015" "3016" "3017" "3018" "3019" "3020"
[3021] "3021" "3022" "3023" "3024" "3025" "3026" "3027" "3028" "3029" "3030"
[3031] "3031" "3032" "3033" "3034" "3035" "3036" "3037" "3038" "3039" "3040"
[3041] "3041" "3042" "3043" "3044" "3045" "3046" "3047" "3048" "3049" "3050"
[3051] "3051" "3052" "3053" "3054" "3055" "3056" "3057" "3058" "3059" "3060"
[3061] "3061" "3062" "3063" "3064" "3065" "3066" "3067" "3068" "3069" "3070"
[3071] "3071" "3072" "3073" "3074" "3075" "3076" "3077" "3078" "3079" "3080"
[3081] "3081" "3082" "3083" "3084" "3085" "3086" "3087" "3088" "3089" "3090"
[3091] "3091" "3092" "3093" "3094" "3095" "3096" "3097" "3098" "3099" "3100"
[3101] "3101" "3102" "3103" "3104" "3105" "3106" "3107" "3108" "3109" "3110"
[3111] "3111" "3112" "3113" "3114" "3115" "3116" "3117" "3118" "3119" "3120"
[3121] "3121" "3122" "3123" "3124" "3125" "3126" "3127" "3128" "3129" "3130"
[3131] "3131" "3132" "3133" "3134" "3135" "3136" "3137" "3138" "3139" "3140"
[3141] "3141" "3142" "3143" "3144" "3145" "3146" "3147" "3148" "3149" "3150"
[3151] "3151" "3152" "3153" "3154" "3155" "3156" "3157" "3158" "3159" "3160"
[3161] "3161" "3162" "3163" "3164" "3165" "3166" "3167" "3168" "3169" "3170"
[3171] "3171" "3172" "3173" "3174" "3175" "3176" "3177" "3178" "3179" "3180"
[3181] "3181" "3182" "3183" "3184" "3185" "3186" "3187" "3188" "3189" "3190"
[3191] "3191" "3192" "3193" "3194" "3195" "3196" "3197" "3198" "3199" "3200"
[3201] "3201" "3202" "3203" "3204" "3205" "3206" "3207" "3208" "3209" "3210"
[3211] "3211" "3212" "3213" "3214" "3215" "3216" "3217" "3218" "3219" "3220"
[3221] "3221" "3222" "3223" "3224" "3225" "3226" "3227" "3228" "3229" "3230"
[3231] "3231" "3232" "3233" "3234" "3235" "3236" "3237" "3238" "3239" "3240"
[3241] "3241" "3242" "3243" "3244" "3245" "3246" "3247" "3248" "3249" "3250"
[3251] "3251" "3252" "3253" "3254" "3255" "3256" "3257" "3258" "3259" "3260"
[3261] "3261" "3262" "3263" "3264" "3265" "3266" "3267" "3268" "3269" "3270"
[3271] "3271" "3272" "3273" "3274" "3275" "3276" "3277" "3278" "3279" "3280"
[3281] "3281" "3282" "3283" "3284" "3285" "3286" "3287" "3288" "3289" "3290"
[3291] "3291" "3292" "3293" "3294" "3295" "3296" "3297" "3298" "3299" "3300"
[3301] "3301" "3302" "3303" "3304" "3305" "3306" "3307" "3308" "3309" "3310"
[3311] "3311" "3312" "3313" "3314" "3315" "3316" "3317" "3318" "3319" "3320"
[3321] "3321" "3322" "3323" "3324" "3325" "3326" "3327" "3328" "3329" "3330"
[3331] "3331" "3332" "3333" "3334" "3335" "3336" "3337" "3338" "3339" "3340"
[3341] "3341" "3342" "3343" "3344" "3345" "3346" "3347" "3348" "3349" "3350"
[3351] "3351" "3352" "3353" "3354" "3355" "3356" "3357" "3358" "3359" "3360"
[3361] "3361" "3362" "3363" "3364" "3365" "3366" "3367" "3368" "3369" "3370"
[3371] "3371" "3372" "3373" "3374" "3375" "3376" "3377" "3378" "3379" "3380"
[3381] "3381" "3382" "3383" "3384" "3385" "3386" "3387" "3388" "3389" "3390"
[3391] "3391" "3392" "3393" "3394" "3395" "3396" "3397" "3398" "3399" "3400"
[3401] "3401" "3402" "3403" "3404" "3405" "3406" "3407" "3408" "3409" "3410"
[3411] "3411" "3412" "3413" "3414" "3415" "3416" "3417" "3418" "3419" "3420"
[3421] "3421" "3422" "3423" "3424" "3425" "3426" "3427" "3428" "3429" "3430"
[3431] "3431" "3432" "3433" "3434" "3435" "3436" "3437" "3438" "3439" "3440"
[3441] "3441" "3442" "3443" "3444" "3445" "3446" "3447" "3448" "3449" "3450"
[3451] "3451" "3452" "3453" "3454" "3455" "3456" "3457" "3458" "3459" "3460"
[3461] "3461" "3462" "3463" "3464" "3465" "3466" "3467" "3468" "3469" "3470"
[3471] "3471" "3472" "3473" "3474" "3475" "3476" "3477" "3478" "3479" "3480"
[3481] "3481" "3482" "3483" "3484" "3485" "3486" "3487" "3488" "3489" "3490"
[3491] "3491" "3492" "3493" "3494" "3495" "3496" "3497" "3498" "3499" "3500"
[3501] "3501" "3502" "3503" "3504" "3505" "3506" "3507" "3508" "3509" "3510"
[3511] "3511" "3512" "3513" "3514" "3515" "3516" "3517" "3518" "3519" "3520"
[3521] "3521" "3522" "3523" "3524" "3525" "3526" "3527" "3528" "3529" "3530"
[3531] "3531" "3532" "3533" "3534" "3535" "3536" "3537" "3538" "3539" "3540"
[3541] "3541" "3542" "3543" "3544" "3545" "3546" "3547" "3548" "3549" "3550"
[3551] "3551" "3552" "3553" "3554" "3555" "3556" "3557" "3558" "3559" "3560"
[3561] "3561" "3562" "3563" "3564" "3565" "3566" "3567" "3568" "3569" "3570"
[3571] "3571" "3572" "3573" "3574" "3575" "3576" "3577" "3578" "3579" "3580"
[3581] "3581" "3582" "3583" "3584" "3585" "3586" "3587" "3588" "3589" "3590"
[3591] "3591" "3592" "3593" "3594" "3595" "3596" "3597" "3598" "3599" "3600"
[3601] "3601" "3602" "3603" "3604" "3605" "3606" "3607" "3608" "3609" "3610"
[3611] "3611" "3612" "3613" "3614" "3615" "3616" "3617" "3618" "3619" "3620"
[3621] "3621" "3622" "3623" "3624" "3625" "3626" "3627" "3628" "3629" "3630"
[3631] "3631" "3632" "3633" "3634" "3635" "3636" "3637" "3638" "3639" "3640"
[3641] "3641" "3642" "3643" "3644" "3645" "3646" "3647" "3648" "3649" "3650"
[3651] "3651" "3652" "3653" "3654" "3655" "3656" "3657" "3658" "3659" "3660"
[3661] "3661" "3662" "3663" "3664" "3665" "3666" "3667" "3668" "3669" "3670"
[3671] "3671" "3672" "3673" "3674" "3675" "3676" "3677" "3678" "3679" "3680"
[3681] "3681" "3682" "3683" "3684" "3685" "3686" "3687" "3688" "3689" "3690"
[3691] "3691" "3692" "3693" "3694" "3695" "3696" "3697" "3698" "3699" "3700"
[3701] "3701" "3702" "3703" "3704" "3705" "3706" "3707" "3708" "3709" "3710"
[3711] "3711" "3712" "3713" "3714" "3715" "3716" "3717" "3718" "3719" "3720"
[3721] "3721" "3722" "3723" "3724" "3725" "3726" "3727" "3728" "3729" "3730"
[3731] "3731" "3732" "3733" "3734" "3735" "3736" "3737" "3738" "3739" "3740"
[3741] "3741" "3742" "3743" "3744" "3745" "3746" "3747" "3748" "3749" "3750"
[3751] "3751" "3752" "3753" "3754" "3755" "3756" "3757" "3758" "3759" "3760"
[3761] "3761" "3762" "3763" "3764" "3765" "3766" "3767" "3768" "3769" "3770"
[3771] "3771" "3772" "3773" "3774" "3775" "3776" "3777" "3778" "3779" "3780"
[3781] "3781" "3782" "3783" "3784" "3785" "3786" "3787" "3788" "3789" "3790"
[3791] "3791" "3792" "3793" "3794" "3795" "3796" "3797" "3798" "3799" "3800"
[3801] "3801" "3802" "3803" "3804" "3805" "3806" "3807" "3808" "3809" "3810"
[3811] "3811" "3812" "3813" "3814" "3815" "3816" "3817" "3818" "3819" "3820"
[3821] "3821" "3822" "3823" "3824" "3825" "3826" "3827" "3828" "3829" "3830"
[3831] "3831" "3832" "3833" "3834" "3835" "3836" "3837" "3838" "3839" "3840"
[3841] "3841" "3842" "3843" "3844" "3845" "3846" "3847" "3848" "3849" "3850"
[3851] "3851" "3852" "3853" "3854" "3855" "3856" "3857" "3858" "3859" "3860"
[3861] "3861" "3862" "3863" "3864" "3865" "3866" "3867" "3868" "3869" "3870"
[3871] "3871" "3872" "3873" "3874" "3875" "3876" "3877" "3878" "3879" "3880"
[3881] "3881" "3882" "3883" "3884" "3885" "3886" "3887" "3888" "3889" "3890"
[3891] "3891" "3892" "3893" "3894" "3895" "3896" "3897" "3898" "3899" "3900"
[3901] "3901" "3902" "3903" "3904" "3905" "3906" "3907" "3908" "3909" "3910"
[3911] "3911" "3912" "3913" "3914" "3915" "3916" "3917" "3918" "3919" "3920"
[3921] "3921" "3922" "3923" "3924" "3925" "3926" "3927" "3928" "3929" "3930"
[3931] "3931" "3932" "3933" "3934" "3935" "3936" "3937" "3938" "3939" "3940"
[3941] "3941" "3942" "3943" "3944" "3945" "3946" "3947" "3948" "3949" "3950"
[3951] "3951" "3952" "3953" "3954" "3955" "3956" "3957" "3958" "3959" "3960"
[3961] "3961" "3962" "3963" "3964" "3965" "3966" "3967" "3968" "3969" "3970"
[3971] "3971" "3972" "3973" "3974" "3975" "3976" "3977" "3978" "3979" "3980"
[3981] "3981" "3982" "3983" "3984" "3985" "3986" "3987" "3988" "3989" "3990"
[3991] "3991" "3992" "3993" "3994" "3995" "3996" "3997" "3998" "3999" "4000"
[4001] "4001" "4002" "4003" "4004" "4005" "4006" "4007" "4008" "4009" "4010"
[4011] "4011" "4012" "4013" "4014" "4015" "4016" "4017" "4018" "4019" "4020"
[4021] "4021" "4022" "4023" "4024" "4025" "4026" "4027" "4028" "4029" "4030"
[4031] "4031" "4032" "4033" "4034" "4035" "4036" "4037" "4038" "4039" "4040"
[4041] "4041" "4042" "4043" "4044" "4045" "4046" "4047" "4048" "4049" "4050"
[4051] "4051" "4052" "4053" "4054" "4055" "4056" "4057" "4058" "4059" "4060"
[4061] "4061" "4062" "4063" "4064" "4065" "4066" "4067" "4068" "4069" "4070"
[4071] "4071" "4072" "4073" "4074" "4075" "4076" "4077" "4078" "4079" "4080"
[4081] "4081" "4082" "4083" "4084" "4085" "4086" "4087" "4088" "4089" "4090"
[4091] "4091" "4092" "4093" "4094" "4095" "4096" "4097" "4098" "4099" "4100"
[4101] "4101" "4102" "4103" "4104" "4105" "4106" "4107" "4108" "4109" "4110"
[4111] "4111" "4112" "4113" "4114" "4115" "4116" "4117" "4118" "4119" "4120"
[4121] "4121" "4122" "4123" "4124" "4125" "4126" "4127" "4128" "4129" "4130"
[4131] "4131" "4132" "4133" "4134" "4135" "4136" "4137" "4138" "4139" "4140"
[4141] "4141" "4142" "4143" "4144" "4145" "4146" "4147" "4148" "4149" "4150"
[4151] "4151" "4152" "4153" "4154" "4155" "4156" "4157" "4158" "4159" "4160"
[4161] "4161" "4162" "4163" "4164" "4165" "4166" "4167" "4168" "4169" "4170"
[4171] "4171" "4172" "4173" "4174" "4175" "4176" "4177" "4178" "4179" "4180"
[4181] "4181" "4182" "4183" "4184" "4185" "4186" "4187" "4188" "4189" "4190"
[4191] "4191" "4192" "4193" "4194" "4195" "4196" "4197" "4198" "4199" "4200"
[4201] "4201" "4202" "4203" "4204" "4205" "4206" "4207" "4208" "4209" "4210"
[4211] "4211" "4212" "4213" "4214" "4215" "4216" "4217" "4218" "4219" "4220"
[4221] "4221" "4222" "4223" "4224" "4225" "4226" "4227" "4228" "4229" "4230"
[4231] "4231" "4232" "4233" "4234" "4235" "4236" "4237" "4238" "4239" "4240"
[4241] "4241" "4242" "4243" "4244" "4245" "4246" "4247" "4248" "4249" "4250"
[4251] "4251" "4252" "4253" "4254" "4255" "4256" "4257" "4258" "4259" "4260"
[4261] "4261" "4262" "4263" "4264" "4265" "4266" "4267" "4268" "4269" "4270"
[4271] "4271" "4272" "4273" "4274" "4275" "4276" "4277" "4278" "4279" "4280"
[4281] "4281" "4282" "4283" "4284" "4285" "4286" "4287" "4288" "4289" "4290"
[4291] "4291" "4292" "4293" "4294" "4295" "4296" "4297" "4298" "4299" "4300"
[4301] "4301" "4302" "4303" "4304" "4305" "4306" "4307" "4308" "4309" "4310"
[4311] "4311" "4312" "4313" "4314" "4315" "4316" "4317" "4318" "4319" "4320"
[4321] "4321" "4322" "4323" "4324" "4325" "4326" "4327" "4328" "4329" "4330"
[4331] "4331" "4332" "4333" "4334" "4335" "4336" "4337" "4338" "4339" "4340"
[4341] "4341" "4342" "4343" "4344" "4345" "4346" "4347" "4348" "4349" "4350"
[4351] "4351" "4352" "4353" "4354" "4355" "4356" "4357" "4358" "4359" "4360"
[4361] "4361" "4362" "4363" "4364" "4365" "4366" "4367" "4368" "4369" "4370"
[4371] "4371" "4372" "4373" "4374" "4375" "4376" "4377" "4378" "4379" "4380"
[4381] "4381" "4382" "4383" "4384" "4385" "4386" "4387" "4388" "4389" "4390"
[4391] "4391" "4392" "4393" "4394" "4395" "4396" "4397" "4398" "4399" "4400"
[4401] "4401" "4402" "4403" "4404" "4405" "4406" "4407" "4408" "4409" "4410"
[4411] "4411" "4412" "4413" "4414" "4415" "4416" "4417" "4418" "4419" "4420"
[4421] "4421" "4422" "4423" "4424" "4425" "4426" "4427" "4428" "4429" "4430"
[4431] "4431" "4432" "4433" "4434" "4435" "4436" "4437" "4438" "4439" "4440"
[4441] "4441" "4442" "4443" "4444" "4445" "4446" "4447" "4448" "4449" "4450"
[4451] "4451" "4452" "4453" "4454" "4455" "4456" "4457" "4458" "4459" "4460"
[4461] "4461" "4462" "4463" "4464" "4465" "4466" "4467" "4468" "4469" "4470"
[4471] "4471" "4472" "4473" "4474" "4475" "4476" "4477" "4478" "4479" "4480"
[4481] "4481" "4482" "4483" "4484" "4485" "4486" "4487" "4488" "4489" "4490"
[4491] "4491" "4492" "4493" "4494" "4495" "4496" "4497" "4498" "4499" "4500"
[4501] "4501" "4502" "4503" "4504" "4505" "4506" "4507" "4508" "4509" "4510"
[4511] "4511" "4512" "4513" "4514" "4515" "4516" "4517" "4518" "4519" "4520"
[4521] "4521" "4522" "4523" "4524" "4525" "4526" "4527" "4528" "4529" "4530"
[4531] "4531" "4532" "4533" "4534" "4535" "4536" "4537" "4538" "4539" "4540"
[4541] "4541" "4542" "4543" "4544" "4545" "4546" "4547" "4548" "4549" "4550"
[4551] "4551" "4552" "4553" "4554" "4555" "4556" "4557" "4558" "4559" "4560"
[4561] "4561" "4562" "4563" "4564" "4565" "4566" "4567" "4568" "4569" "4570"
[4571] "4571" "4572" "4573" "4574" "4575" "4576" "4577" "4578" "4579" "4580"
[4581] "4581" "4582" "4583" "4584" "4585" "4586" "4587" "4588" "4589" "4590"
[4591] "4591" "4592" "4593" "4594" "4595" "4596" "4597" "4598" "4599" "4600"
[4601] "4601" "4602" "4603" "4604" "4605" "4606" "4607" "4608" "4609" "4610"
[4611] "4611" "4612" "4613" "4614" "4615" "4616" "4617" "4618" "4619" "4620"
[4621] "4621" "4622" "4623" "4624" "4625" "4626" "4627" "4628" "4629" "4630"
[4631] "4631" "4632" "4633" "4634" "4635" "4636" "4637" "4638" "4639" "4640"
[4641] "4641" "4642" "4643" "4644" "4645" "4646" "4647" "4648" "4649" "4650"
[4651] "4651" "4652" "4653" "4654" "4655" "4656" "4657" "4658" "4659" "4660"
[4661] "4661" "4662" "4663" "4664" "4665" "4666" "4667" "4668" "4669" "4670"
[4671] "4671" "4672" "4673" "4674" "4675" "4676" "4677" "4678" "4679" "4680"
[4681] "4681" "4682" "4683" "4684" "4685" "4686" "4687" "4688" "4689" "4690"
[4691] "4691" "4692" "4693" "4694" "4695" "4696" "4697" "4698" "4699" "4700"
[4701] "4701" "4702" "4703" "4704" "4705" "4706" "4707" "4708" "4709" "4710"
[4711] "4711" "4712" "4713" "4714" "4715" "4716" "4717" "4718" "4719" "4720"
[4721] "4721" "4722" "4723" "4724" "4725" "4726" "4727" "4728" "4729" "4730"
[4731] "4731" "4732" "4733" "4734" "4735" "4736" "4737" "4738" "4739" "4740"
[4741] "4741" "4742" "4743" "4744" "4745" "4746" "4747" "4748" "4749" "4750"
[4751] "4751" "4752" "4753" "4754" "4755" "4756" "4757" "4758" "4759" "4760"
[4761] "4761" "4762" "4763" "4764" "4765" "4766" "4767" "4768" "4769" "4770"
[4771] "4771" "4772" "4773" "4774" "4775" "4776" "4777" "4778" "4779" "4780"
[4781] "4781" "4782" "4783" "4784" "4785" "4786" "4787" "4788" "4789" "4790"
[4791] "4791" "4792" "4793" "4794" "4795" "4796" "4797" "4798" "4799" "4800"
[4801] "4801" "4802" "4803" "4804" "4805" "4806" "4807" "4808" "4809" "4810"
[4811] "4811" "4812" "4813" "4814" "4815" "4816" "4817" "4818" "4819" "4820"
[4821] "4821" "4822" "4823" "4824" "4825" "4826" "4827" "4828" "4829" "4830"
[4831] "4831" "4832" "4833" "4834" "4835" "4836" "4837" "4838" "4839" "4840"
[4841] "4841" "4842" "4843" "4844" "4845" "4846" "4847" "4848" "4849" "4850"
[4851] "4851" "4852" "4853" "4854" "4855" "4856" "4857" "4858" "4859" "4860"
[4861] "4861" "4862" "4863" "4864" "4865" "4866" "4867" "4868" "4869" "4870"
[4871] "4871" "4872" "4873" "4874" "4875" "4876" "4877" "4878" "4879" "4880"
[4881] "4881" "4882" "4883" "4884" "4885" "4886" "4887" "4888" "4889" "4890"
[4891] "4891" "4892" "4893" "4894" "4895" "4896" "4897" "4898" "4899" "4900"
[4901] "4901" "4902" "4903" "4904" "4905" "4906" "4907" "4908" "4909" "4910"
[4911] "4911" "4912" "4913" "4914" "4915" "4916" "4917" "4918" "4919" "4920"
[4921] "4921" "4922" "4923" "4924" "4925" "4926" "4927" "4928" "4929" "4930"
[4931] "4931" "4932" "4933" "4934" "4935" "4936" "4937" "4938" "4939" "4940"
[4941] "4941" "4942" "4943" "4944" "4945" "4946" "4947" "4948" "4949" "4950"
[4951] "4951" "4952" "4953" "4954" "4955" "4956" "4957" "4958" "4959" "4960"
[4961] "4961" "4962" "4963" "4964" "4965" "4966" "4967" "4968" "4969" "4970"
[4971] "4971" "4972" "4973" "4974" "4975" "4976" "4977" "4978" "4979" "4980"
[4981] "4981" "4982" "4983" "4984" "4985" "4986" "4987" "4988" "4989" "4990"
[4991] "4991" "4992" "4993" "4994" "4995" "4996" "4997" "4998" "4999" "5000"
[5001] "5001" "5002" "5003" "5004" "5005" "5006" "5007" "5008" "5009" "5010"
[5011] "5011" "5012" "5013" "5014" "5015" "5016" "5017" "5018" "5019" "5020"
[5021] "5021" "5022" "5023" "5024" "5025" "5026" "5027" "5028" "5029" "5030"
[5031] "5031" "5032" "5033" "5034" "5035" "5036" "5037" "5038" "5039" "5040"
[5041] "5041" "5042" "5043" "5044" "5045" "5046" "5047" "5048" "5049" "5050"
[5051] "5051" "5052" "5053" "5054" "5055" "5056" "5057" "5058" "5059" "5060"
[5061] "5061" "5062" "5063" "5064" "5065" "5066" "5067" "5068" "5069" "5070"
[5071] "5071" "5072" "5073" "5074" "5075" "5076" "5077" "5078" "5079" "5080"
[5081] "5081" "5082" "5083" "5084" "5085" "5086" "5087" "5088" "5089" "5090"
[5091] "5091" "5092" "5093" "5094" "5095" "5096" "5097" "5098" "5099" "5100"
[5101] "5101" "5102" "5103" "5104" "5105" "5106" "5107" "5108" "5109" "5110"
[5111] "5111" "5112" "5113" "5114" "5115" "5116" "5117" "5118" "5119" "5120"
[5121] "5121" "5122" "5123" "5124" "5125" "5126" "5127" "5128" "5129" "5130"
[5131] "5131" "5132" "5133" "5134" "5135" "5136" "5137" "5138" "5139" "5140"
[5141] "5141" "5142" "5143" "5144" "5145" "5146" "5147" "5148" "5149" "5150"
[5151] "5151" "5152" "5153" "5154" "5155" "5156" "5157" "5158" "5159" "5160"
[5161] "5161" "5162" "5163" "5164" "5165" "5166" "5167" "5168" "5169" "5170"
[5171] "5171" "5172" "5173" "5174" "5175" "5176" "5177" "5178" "5179" "5180"
[5181] "5181" "5182" "5183" "5184" "5185" "5186" "5187" "5188" "5189" "5190"
[5191] "5191" "5192" "5193" "5194" "5195" "5196" "5197" "5198" "5199" "5200"
[5201] "5201" "5202" "5203" "5204" "5205" "5206" "5207" "5208" "5209" "5210"
[5211] "5211" "5212" "5213" "5214" "5215" "5216" "5217" "5218" "5219" "5220"
[5221] "5221" "5222" "5223" "5224" "5225" "5226" "5227" "5228" "5229" "5230"
[5231] "5231" "5232" "5233" "5234" "5235" "5236" "5237" "5238" "5239" "5240"
[5241] "5241" "5242" "5243" "5244" "5245" "5246" "5247" "5248" "5249" "5250"
[5251] "5251" "5252" "5253" "5254" "5255" "5256" "5257" "5258" "5259" "5260"
[5261] "5261" "5262" "5263" "5264" "5265" "5266" "5267" "5268" "5269" "5270"
[5271] "5271" "5272" "5273" "5274" "5275" "5276" "5277" "5278" "5279" "5280"
[5281] "5281" "5282" "5283" "5284" "5285" "5286" "5287" "5288" "5289" "5290"
[5291] "5291" "5292" "5293" "5294" "5295" "5296" "5297" "5298" "5299" "5300"
[5301] "5301" "5302" "5303" "5304" "5305" "5306" "5307" "5308" "5309" "5310"
[5311] "5311" "5312" "5313" "5314" "5315" "5316" "5317" "5318" "5319" "5320"
[5321] "5321" "5322" "5323" "5324" "5325" "5326" "5327" "5328" "5329" "5330"
[5331] "5331" "5332" "5333" "5334" "5335" "5336" "5337" "5338" "5339" "5340"
[5341] "5341" "5342" "5343" "5344" "5345" "5346" "5347" "5348" "5349" "5350"
[5351] "5351" "5352" "5353" "5354" "5355" "5356" "5357" "5358" "5359" "5360"
[5361] "5361" "5362" "5363" "5364" "5365" "5366" "5367" "5368" "5369" "5370"
[5371] "5371" "5372" "5373" "5374" "5375" "5376" "5377" "5378" "5379" "5380"
[5381] "5381" "5382" "5383" "5384" "5385" "5386" "5387" "5388" "5389" "5390"
[5391] "5391" "5392" "5393" "5394" "5395" "5396" "5397" "5398" "5399" "5400"
[5401] "5401" "5402" "5403" "5404" "5405" "5406" "5407" "5408" "5409" "5410"
[5411] "5411" "5412" "5413" "5414" "5415" "5416" "5417" "5418" "5419" "5420"
[5421] "5421" "5422" "5423" "5424" "5425" "5426" "5427" "5428" "5429" "5430"
[5431] "5431" "5432" "5433" "5434" "5435" "5436" "5437" "5438" "5439" "5440"
[5441] "5441" "5442" "5443" "5444" "5445" "5446" "5447" "5448" "5449" "5450"
[5451] "5451" "5452" "5453" "5454" "5455" "5456" "5457" "5458" "5459" "5460"
[5461] "5461" "5462" "5463" "5464" "5465" "5466" "5467" "5468" "5469" "5470"
[5471] "5471" "5472" "5473" "5474" "5475" "5476" "5477" "5478" "5479" "5480"
[5481] "5481" "5482" "5483" "5484" "5485" "5486" "5487" "5488" "5489" "5490"
[5491] "5491" "5492" "5493" "5494" "5495" "5496" "5497" "5498" "5499" "5500"
[5501] "5501" "5502" "5503" "5504" "5505" "5506" "5507" "5508" "5509" "5510"
[5511] "5511" "5512" "5513" "5514" "5515" "5516" "5517" "5518" "5519" "5520"
[5521] "5521" "5522" "5523" "5524" "5525" "5526" "5527" "5528" "5529" "5530"
[5531] "5531" "5532" "5533" "5534" "5535" "5536" "5537" "5538" "5539" "5540"
[5541] "5541" "5542" "5543" "5544" "5545" "5546" "5547" "5548" "5549" "5550"
[5551] "5551" "5552" "5553" "5554" "5555" "5556" "5557" "5558" "5559" "5560"
[5561] "5561" "5562" "5563" "5564" "5565" "5566" "5567" "5568" "5569" "5570"
[5571] "5571" "5572" "5573" "5574" "5575" "5576" "5577" "5578" "5579" "5580"
[5581] "5581" "5582" "5583" "5584" "5585" "5586" "5587" "5588" "5589" "5590"
[5591] "5591" "5592" "5593" "5594" "5595" "5596" "5597" "5598" "5599" "5600"
[5601] "5601" "5602" "5603" "5604" "5605" "5606" "5607" "5608" "5609" "5610"
[5611] "5611" "5612" "5613" "5614" "5615" "5616" "5617" "5618" "5619" "5620"
[5621] "5621" "5622" "5623" "5624" "5625" "5626" "5627" "5628" "5629" "5630"
[5631] "5631" "5632" "5633" "5634" "5635" "5636" "5637" "5638" "5639" "5640"
[5641] "5641" "5642" "5643" "5644" "5645" "5646" "5647" "5648" "5649" "5650"
[5651] "5651" "5652" "5653" "5654" "5655" "5656" "5657" "5658" "5659" "5660"
[5661] "5661" "5662" "5663" "5664" "5665" "5666" "5667" "5668" "5669" "5670"
[5671] "5671" "5672" "5673" "5674" "5675" "5676" "5677" "5678" "5679" "5680"
[5681] "5681" "5682" "5683" "5684" "5685" "5686" "5687" "5688" "5689" "5690"
[5691] "5691" "5692" "5693" "5694" "5695" "5696" "5697" "5698" "5699" "5700"
[5701] "5701" "5702" "5703" "5704" "5705" "5706" "5707" "5708" "5709" "5710"
[5711] "5711" "5712" "5713" "5714" "5715" "5716" "5717" "5718" "5719" "5720"
[5721] "5721" "5722" "5723" "5724" "5725" "5726" "5727" "5728" "5729" "5730"
[5731] "5731" "5732" "5733" "5734" "5735" "5736" "5737" "5738" "5739" "5740"
[5741] "5741" "5742" "5743" "5744" "5745" "5746" "5747" "5748" "5749" "5750"
[5751] "5751" "5752" "5753" "5754" "5755" "5756" "5757" "5758" "5759" "5760"
[5761] "5761" "5762" "5763" "5764" "5765" "5766" "5767" "5768" "5769" "5770"
[5771] "5771" "5772" "5773" "5774" "5775" "5776" "5777" "5778" "5779" "5780"
[5781] "5781" "5782" "5783" "5784" "5785" "5786" "5787" "5788" "5789" "5790"
[5791] "5791" "5792" "5793" "5794" "5795" "5796" "5797" "5798" "5799" "5800"
[5801] "5801" "5802" "5803" "5804" "5805" "5806" "5807" "5808" "5809" "5810"
[5811] "5811" "5812" "5813" "5814" "5815" "5816" "5817" "5818" "5819" "5820"
[5821] "5821" "5822" "5823" "5824" "5825" "5826" "5827" "5828" "5829" "5830"
[5831] "5831" "5832" "5833" "5834" "5835" "5836" "5837" "5838" "5839" "5840"
[5841] "5841" "5842" "5843" "5844" "5845" "5846" "5847" "5848" "5849" "5850"
[5851] "5851" "5852" "5853" "5854" "5855" "5856" "5857" "5858" "5859" "5860"
[5861] "5861" "5862" "5863" "5864" "5865" "5866" "5867" "5868" "5869" "5870"
[5871] "5871" "5872" "5873" "5874" "5875" "5876" "5877" "5878" "5879" "5880"
[5881] "5881" "5882" "5883" "5884" "5885" "5886" "5887" "5888" "5889" "5890"
[5891] "5891" "5892" "5893" "5894" "5895" "5896" "5897" "5898" "5899" "5900"
[5901] "5901" "5902" "5903" "5904" "5905" "5906" "5907" "5908" "5909" "5910"
[5911] "5911" "5912" "5913" "5914" "5915" "5916" "5917" "5918" "5919" "5920"
[5921] "5921" "5922" "5923" "5924" "5925" "5926" "5927" "5928" "5929" "5930"
[5931] "5931" "5932" "5933" "5934" "5935" "5936" "5937" "5938" "5939" "5940"
[5941] "5941" "5942" "5943" "5944" "5945" "5946" "5947" "5948" "5949" "5950"
[5951] "5951" "5952" "5953" "5954" "5955" "5956" "5957" "5958" "5959" "5960"
[5961] "5961" "5962" "5963" "5964" "5965" "5966" "5967" "5968" "5969" "5970"
[5971] "5971" "5972" "5973" "5974" "5975" "5976" "5977" "5978" "5979" "5980"
[5981] "5981" "5982" "5983" "5984" "5985" "5986" "5987" "5988" "5989" "5990"
[5991] "5991" "5992" "5993" "5994" "5995" "5996" "5997" "5998" "5999" "6000"
[6001] "6001" "6002" "6003" "6004" "6005" "6006" "6007" "6008" "6009" "6010"
[6011] "6011" "6012" "6013" "6014" "6015" "6016" "6017" "6018" "6019" "6020"
[6021] "6021" "6022" "6023" "6024" "6025" "6026" "6027" "6028" "6029" "6030"
[6031] "6031" "6032" "6033" "6034" "6035" "6036" "6037" "6038" "6039" "6040"
[6041] "6041" "6042" "6043" "6044" "6045" "6046" "6047" "6048" "6049" "6050"
[6051] "6051" "6052" "6053" "6054" "6055" "6056" "6057" "6058" "6059" "6060"
[6061] "6061" "6062" "6063" "6064" "6065" "6066" "6067" "6068" "6069" "6070"
[6071] "6071" "6072" "6073" "6074" "6075" "6076" "6077" "6078" "6079" "6080"
[6081] "6081" "6082" "6083" "6084" "6085" "6086" "6087" "6088" "6089" "6090"
[6091] "6091" "6092" "6093" "6094" "6095" "6096" "6097" "6098" "6099" "6100"
[6101] "6101" "6102" "6103" "6104" "6105" "6106" "6107" "6108" "6109" "6110"
[6111] "6111" "6112" "6113" "6114" "6115" "6116" "6117" "6118" "6119" "6120"
[6121] "6121" "6122" "6123" "6124" "6125" "6126" "6127" "6128" "6129" "6130"
[6131] "6131" "6132" "6133" "6134" "6135" "6136" "6137" "6138" "6139" "6140"
[6141] "6141" "6142" "6143" "6144" "6145" "6146" "6147" "6148" "6149" "6150"
[6151] "6151" "6152" "6153" "6154" "6155" "6156" "6157" "6158" "6159" "6160"
[6161] "6161" "6162" "6163" "6164" "6165" "6166" "6167" "6168" "6169" "6170"
[6171] "6171" "6172" "6173" "6174" "6175" "6176" "6177" "6178" "6179" "6180"
[6181] "6181" "6182" "6183" "6184" "6185" "6186" "6187" "6188" "6189" "6190"
[6191] "6191" "6192" "6193" "6194" "6195" "6196" "6197" "6198" "6199" "6200"
[6201] "6201" "6202" "6203" "6204" "6205" "6206" "6207" "6208" "6209" "6210"
[6211] "6211" "6212" "6213" "6214" "6215" "6216" "6217" "6218" "6219" "6220"
[6221] "6221" "6222" "6223" "6224" "6225" "6226" "6227" "6228" "6229" "6230"
[6231] "6231" "6232" "6233" "6234" "6235" "6236" "6237" "6238" "6239" "6240"
[6241] "6241" "6242" "6243" "6244" "6245" "6246" "6247" "6248" "6249" "6250"
[[2]]
[1] "id" "expl1.name" "expl1.val" "expl2.name" "expl2.val"
[6] "pred.name" "pred.val"
Warning message:
system call failed: Cannot allocate memory
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