revdep/checks.noindex/waywiser/old/waywiser.Rcheck/tests/testthat/_snaps/area_of_applicability.md

In AFIT-R/vip: Variable Importance Plots

ww_area_of_applicability is not defined for vectors

`x` isn't a supported object type.
i `ww_area_of_applicability()` can only handle data.frames, matrices, formulas, and recipes.
x `x` is a numeric

NAs are handled

Code
  ww_area_of_applicability(y ~ ., train, test, importance)
Condition
  Error in `create_aoa()`:
  ! Missing values in training data.
  i Either process your data to fix NA values, or set `na_rm = TRUE`.

Code
  ww_area_of_applicability(y ~ ., train, test, importance, na_rm = TRUE)
Output
  # Predictors:
     10
  Area-of-applicability threshold:
     0.3083

Code
  ww_area_of_applicability(train[2:11], test[2:11], importance)
Condition
  Error in `create_aoa()`:
  ! Missing values in training data.
  i Either process your data to fix NA values, or set `na_rm = TRUE`.

Code
  ww_area_of_applicability(train[2:11], test[2:11], importance, na_rm = TRUE)
Output
  # Predictors:
     10
  Area-of-applicability threshold:
     0.3083

Code
  ww_area_of_applicability(as.matrix(train[2:11]), as.matrix(test[2:11]),
  importance)
Condition
  Error in `create_aoa()`:
  ! Missing values in training data.
  i Either process your data to fix NA values, or set `na_rm = TRUE`.

Code
  ww_area_of_applicability(as.matrix(train[2:11]), as.matrix(test[2:11]),
  importance, na_rm = TRUE)
Output
  # Predictors:
     10
  Area-of-applicability threshold:
     0.3083

Code
  ww_area_of_applicability(comb_rset_no_y, importance = importance)
Condition
  Error in `purrr::map()`:
  i In index: 1.
  Caused by error in `create_aoa()`:
  ! Missing values in training data.
  i Either process your data to fix NA values, or set `na_rm = TRUE`.

Code
  ww_area_of_applicability(comb_rset_no_y, importance = importance, na_rm = TRUE)
Output
  # Predictors:
     10
  Area-of-applicability threshold:
     0.3083

Code
  ww_area_of_applicability(comb_rset, recipes::recipe(y ~ ., train), importance = importance)
Condition
  Error in `purrr::map()`:
  i In index: 1.
  Caused by error in `create_aoa()`:
  ! Missing values in training data.
  i Either process your data to fix NA values, or set `na_rm = TRUE`.

Code
  ww_area_of_applicability(comb_rset, recipes::recipe(y ~ ., train), importance = importance,
  na_rm = TRUE)
Output
  # Predictors:
     10
  Area-of-applicability threshold:
     0.3083

Code
  predict(ww_area_of_applicability(y ~ ., train, test, importance, na_rm = TRUE),
  test)
Output
  # A tibble: 300 x 2
          di aoa  
       <dbl> <lgl>
   1 NA      NA   
   2  0.191  TRUE 
   3  0.190  TRUE 
   4  0.0802 TRUE 
   5  0.141  TRUE 
   6  0.288  TRUE 
   7  0.178  TRUE 
   8  0.205  TRUE 
   9  0.134  TRUE 
  10  0.177  TRUE 
  # i 290 more rows

Expected errors

Code
  ww_area_of_applicability(y ~ ., train, test[1:10], importance)
Condition
  Error in `check_di_testing()`:
  ! Some columns in `training` were not present in `testing` (or `new_data`).

Code
  ww_area_of_applicability(y ~ ., train, test, na_rm = c(TRUE, FALSE), importance)
Condition
  Error in `create_aoa()`:
  ! Only one value can be passed to `na_rm`.

Code
  ww_area_of_applicability(y ~ ., train, test, head(importance, -1))
Condition
  Error in `ww_area_of_applicability()`:
  ! All predictors must have an importance value in `importance`.

Code
  ww_area_of_applicability(y ~ ., train[1:10], test[1:10], importance)
Condition
  Error in `ww_area_of_applicability()`:
  ! All variables with an importance value in `importance` must be included as predictors.

normal use

Code
  predict(aoa, test)
Output
  # A tibble: 300 x 2
         di aoa  
      <dbl> <lgl>
   1 0.175  TRUE 
   2 0.191  TRUE 
   3 0.190  TRUE 
   4 0.0802 TRUE 
   5 0.141  TRUE 
   6 0.287  TRUE 
   7 0.178  TRUE 
   8 0.205  TRUE 
   9 0.134  TRUE 
  10 0.177  TRUE 
  # i 290 more rows

Code
  predict(aoa, train)
Output
  # A tibble: 700 x 2
        di aoa  
     <dbl> <lgl>
   1     0 TRUE 
   2     0 TRUE 
   3     0 TRUE 
   4     0 TRUE 
   5     0 TRUE 
   6     0 TRUE 
   7     0 TRUE 
   8     0 TRUE 
   9     0 TRUE 
  10     0 TRUE 
  # i 690 more rows

new_ww_area_of_applicability arguments are assigned correctly

Code
  x$transformed_training
Output
                x1           x2           x3           x4            x5
  1   -0.202710888 -0.582868552  0.123208250  0.069979924  0.2010312494
  2   -0.718833876  0.138799130  0.174754226  0.053792584 -0.2098647689
  3    0.327734064 -0.363729121 -0.291514859  0.453419809 -0.0927503671
  4    0.246012797  0.051926222 -0.161380475 -0.592965581 -0.0170295803
  5   -0.395003640 -0.176669473 -0.018324413 -0.412624237 -0.0093549223
  6   -0.316102907  0.700581571  0.107007341  0.858539372  0.1241498698
  7    0.131551627 -0.321416246  0.216806130  0.452911354  0.2157458964
  8   -0.263586921  0.507667853  0.125811477 -0.431945890  0.0061180805
  9    0.189935020 -0.023649558 -0.014638972  0.174732614  0.0953001525
  10   0.070193319 -0.042862434  0.206998273 -0.563892476 -0.0269403906
  11   0.595108102  0.139103638 -0.057085198 -0.935507841  0.1254705003
  12   0.323318566 -0.422519505  0.222733465 -0.138044841  0.0374764644
  13   0.362766259  0.284214259  0.178535045 -0.918324608  0.2610572572
  14   0.676585866 -0.294557946 -0.025400664  0.960174016  0.1422063810
  15  -0.072377426 -0.305717535  0.242334233 -0.892598422 -0.1690190557
  16   0.140122572  0.162649913  0.007195259 -0.209064449  0.1184729575
  17   0.501809262  0.181960920 -0.190693090  0.686788738 -0.1097568978
  18  -0.435456296 -0.003146630  0.029894159  0.484504716 -0.2676126072
  19  -0.140676126 -0.144139095 -0.253214463  0.214411974 -0.0369703351
  20  -0.727029410  0.132096129  0.219130866 -0.367873196  0.2236732272
  21   0.313631529  0.524552915 -0.012677860  0.792548770  0.0160756277
  22   0.716198876  0.572569208  0.151126967  0.060126633  0.2219986753
  23  -0.452378569  0.108297007  0.221541385 -0.494658307 -0.0489135024
  24   0.251311348  0.142173120 -0.217762987 -0.784595299  0.1680383421
  25   0.663515860 -0.017724982 -0.059844108  0.597406793 -0.2294910593
  26   0.462961226  0.626131416  0.131149675  0.976775797  0.0056904849
  27  -0.675787043  0.097298697  0.208272367  0.897100289 -0.0340004987
  28  -0.175661931 -0.115659654 -0.226868793 -0.459944481 -0.2436348960
  29  -0.148873795  0.053521761 -0.202451335 -0.777403951  0.1400635983
  30   0.248629270  0.413711411 -0.104333507 -0.809262106  0.1594766140
  31  -0.122317521  0.351553983 -0.174194021 -0.689041538 -0.0767981915
  32  -0.283206670  0.159241302 -0.254413387  0.183262406  0.0948612469
  33  -0.476931385 -0.483498789 -0.295646880 -0.822167760 -0.1216605442
  34  -0.531252264 -0.479695575 -0.290736074  0.525906205  0.2395633166
  35   0.034801344 -0.283821346  0.277073681 -0.684293274  0.0553319791
  36   0.648049423 -0.581206673  0.294127310 -0.424205953  0.2668625110
  37  -0.462719594 -0.359305655 -0.200832868  0.916873867  0.0637538225
  38   0.492138126  0.246921111 -0.003951057  0.562435483 -0.2212430383
  39  -0.756017868 -0.080913445 -0.209278644 -0.892763117  0.2195465602
  40   0.665850752 -0.280653297  0.049100356 -0.857284366 -0.1616098428
  41  -0.104062210 -0.351998086 -0.134868844  0.311875424 -0.1620453006
  42  -0.092913843  0.427825459 -0.082915382  0.726825569 -0.2492840921
  43   0.407902146  0.181906033  0.168910890 -0.899676385 -0.2620476795
  44  -0.264381983  0.170064721 -0.268479254  0.657772937  0.1302991096
  45  -0.167882708 -0.025463227 -0.102075672  0.330423959 -0.1263183430
  46  -0.421034177  0.311479037  0.297859367 -0.788340559 -0.2714345263
  47  -0.675166037  0.554190425 -0.060464797 -0.701121604 -0.1865402684
  48   0.647899845  0.100520130  0.051295325  0.313420252  0.1699847175
  49   0.425197930  0.630786593  0.158333960  0.027876769 -0.0530068036
  50  -0.618694458  0.706658970  0.222120554  0.258467244 -0.1452144299
  51  -0.663213476 -0.186455528 -0.137356092  0.147721396  0.0871865189
  52  -0.105747601  0.700584019  0.291267133 -0.579049441  0.0280525875
  53   0.280723213  0.474897095  0.165975126  0.782199623  0.0283498501
  54   0.366512768 -0.658214518  0.263457226  0.205228600 -0.1902260017
  55  -0.076479269  0.382029920 -0.063431474 -0.646716398 -0.2681587759
  56   0.444203823 -0.002328285 -0.283232440 -0.787085442 -0.2516250436
  57   0.280819546  0.693386190  0.185865465 -0.027240297  0.2247770473
  58   0.027559600 -0.178846047 -0.299268350  0.975305460  0.1731570107
  59   0.298062046 -0.632558560 -0.223186969 -0.396031723  0.1851626106
  60   0.136909780 -0.410580423  0.192749151  0.384187643 -0.0400762999
  61   0.492620108  0.518497517 -0.159523998 -0.130852870 -0.2135679990
  62   0.485476915 -0.037774936 -0.216865873  0.202669397  0.0285133073
  63   0.170954403 -0.298859270  0.228222003  0.100124586  0.0408014797
  64   0.773681408  0.178579562  0.094821560 -0.638996726  0.0481419719
  65   0.537652281  0.590484212  0.294021387 -0.923832736 -0.2024301276
  66   0.336880714 -0.203919400  0.265332867  0.796932369 -0.2398197690
  67  -0.757724810 -0.464960073 -0.185140625  0.109131820  0.2025212791
  68  -0.308204178 -0.419702544 -0.036955635 -0.663574581 -0.1255867682
  69   0.600062675 -0.115956689  0.267702640  0.903316197 -0.0281479067
  70   0.691851367  0.072073082  0.202536662  0.885852132 -0.0729410103
  71  -0.419267953 -0.452508062  0.304865417  0.218905120 -0.0619244976
  72   0.684493998  0.658785366  0.112260718  0.863209395 -0.0974388011
  73   0.103001238  0.129541395 -0.261119415  0.617438299 -0.1387862191
  74   0.536944771  0.036942212 -0.152151282 -0.096787277 -0.0869953304
  75   0.503168964  0.551361588 -0.183093518 -0.666263509  0.2512513796
  76  -0.347666870  0.396465431 -0.264950997 -0.517846177  0.1918836332
  77  -0.713369947 -0.493691431 -0.054410530 -0.694475347 -0.2595170353
  78  -0.434164081 -0.404106892 -0.013933538 -0.450053993 -0.1523007939
  79   0.270221371  0.297178450  0.266558223 -0.896951066  0.2669303652
  80   0.719489184  0.358385133 -0.072874616 -0.849159429  0.1684320517
  81   0.289345431  0.372484437  0.006811835 -0.899083323  0.0357946828
  82   0.431656921 -0.474502444 -0.115650178 -0.584443841 -0.2213088644
  83   0.431712725 -0.674850720 -0.107037968  0.522741966  0.0677022521
  84   0.756997467 -0.387353555  0.223421916  0.031010520 -0.0162337516
  85  -0.771701715  0.119182141  0.226211816 -0.757515071  0.1922780261
  86   0.709516383  0.198837894  0.182805436 -0.526712775  0.2480111692
  87  -0.280139521 -0.546075986 -0.247114111  0.375760927 -0.0431095100
  88  -0.114995972  0.468385795  0.109820090 -0.154568556  0.1099790751
  89  -0.576319846  0.590682853 -0.007772394  0.527775169  0.1086701292
  90  -0.758908147 -0.625303390 -0.086557623  0.978644438 -0.2262358642
  91   0.244141003  0.658063358  0.081454988 -0.701722889 -0.0108831604
  92   0.650021480 -0.275000949  0.039452735  0.077112258 -0.1814782771
  93   0.336560782  0.158102328  0.256608189 -0.536539923  0.1987889971
  94  -0.500160811  0.141259453 -0.143855096  0.817462410 -0.2029718573
  95  -0.410387279 -0.475998005 -0.017179678 -0.736381236 -0.0233458185
  96   0.526977761 -0.524571150 -0.166929483  0.406269102 -0.0409316960
  97  -0.181217005  0.333743282 -0.076066717 -0.650705325  0.2245915776
  98  -0.422166593 -0.420183708  0.290830917 -0.692391816  0.1172582460
  99  -0.679389372 -0.438710765 -0.002072271  0.259166259  0.1176854682
  100 -0.689914023  0.690195006 -0.120782211 -0.203955159 -0.0976155907
  101 -0.591215872 -0.507526439  0.128764713 -0.002226083 -0.1764095940
  102 -0.751051917 -0.463679612 -0.278303333  0.933591397  0.0141381518
  103 -0.171805615  0.083857525  0.244312888  0.899253280  0.1070482343
  104  0.563363097  0.294336886  0.123218803 -0.843633038  0.1149393632
  105  0.341330543  0.331253458  0.173951363  0.542460631  0.0614262795
  106 -0.254269736 -0.504323959  0.168493453  0.956364567 -0.0135284215
  107 -0.660055541 -0.025561549 -0.105422319  0.840450071  0.1302138680
  108 -0.729192515  0.620312227  0.105937954  0.897948751 -0.2071490235
  109  0.427390866 -0.001520052 -0.278792397 -0.427278249 -0.0354524965
  110  0.776310350  0.439671877  0.209450004  0.591806343 -0.1315453173
  111 -0.557317729 -0.173915122  0.011017853  0.552847776  0.0305674832
  112 -0.725089384 -0.222339941 -0.260149210 -0.073872911 -0.1266532818
  113  0.101391632  0.648670083  0.058954827 -0.479317567 -0.0816769876
  114  0.608924058  0.325009856 -0.092294452  0.424603816 -0.0855080509
  115  0.580845883 -0.626972292 -0.254611336 -0.725124212  0.0434658400
  116  0.755354406 -0.703710688 -0.032497973  0.970601862 -0.2718051319
  117  0.595031348  0.125230533 -0.054696946  0.322005030 -0.1897119478
  118  0.014511017  0.667808758  0.022701612  0.676921248  0.1790561269
  119 -0.262159448 -0.289192151 -0.105902749 -0.807352035  0.1915171482
  120  0.176297447 -0.517574108  0.096382425 -0.564612046  0.2288528019
  121 -0.162930008 -0.704620369  0.235722517 -0.286706620  0.0713029170
  122 -0.567771984 -0.556084674 -0.021137917 -0.325461919  0.1868866409
  123 -0.663394942  0.299312081  0.137245543  0.499725650 -0.1994542153
  124  0.077097999  0.384066920 -0.069846141 -0.815883121 -0.0059973889
  125 -0.378045222  0.659107619  0.184278234 -0.159626457  0.2599032071
  126  0.484667312 -0.044033236  0.058810406 -0.118868269  0.1688102381
  127  0.068529018  0.021980118  0.266336767  0.437847878  0.1697077317
  128 -0.041928329 -0.711075535 -0.085659006 -0.027186936  0.1367149423
  129  0.255471034  0.451752057  0.214981290 -0.827717156  0.1638039664
  130 -0.642837227  0.498267086  0.184339770 -0.852327861  0.1763828109
  131  0.234807008 -0.092553921 -0.288185630  0.731725172 -0.0641771887
  132 -0.208556703 -0.153751778 -0.263445828 -0.867957051  0.2604687151
  133 -0.401394124 -0.109406207  0.092050016  0.590173031  0.1230654948
  134 -0.318383716 -0.189705850  0.059912562 -0.726128558  0.1360574757
  135  0.091185930 -0.519489109 -0.155085396 -0.020513955  0.0350258709
  136 -0.032714196 -0.353563716 -0.213080796  0.283424419 -0.1457693106
  137 -0.037966649  0.556968086  0.083619082 -0.678988545 -0.1646770037
  138  0.682716018  0.475108572  0.283740540 -0.256120632  0.0690867736
  139 -0.048711456  0.525201754  0.291531905 -0.096126644  0.2253850269
  140  0.278243602  0.702217519  0.260020326 -0.249593063  0.0844949287
  141  0.681035154 -0.374010280 -0.122758130 -0.080301763  0.0877577109
  142 -0.357055600  0.348415931 -0.186495285  0.297593083  0.0615297103
  143  0.701329494  0.654918810  0.052446274 -0.229424699 -0.2346575495
  144 -0.295281500 -0.579892662  0.297097978 -0.648597559  0.2056780363
  145  0.588477707  0.153615411  0.168205182 -0.831058150  0.2408484909
  146 -0.524666935  0.210861591  0.040886514 -0.902006450 -0.0836022329
  147 -0.050449717 -0.063859049  0.060964773  0.734759521  0.1362252772
  148  0.237429979 -0.551145221 -0.028783423 -0.375296455  0.2459588498
  149 -0.733551957  0.285519095 -0.086538864  0.396192889  0.0400462246
  150 -0.103291154  0.679403792  0.071952963 -0.231718236  0.2444260975
  151 -0.552322804 -0.384974214  0.065081505  0.440193820 -0.1908224679
  152 -0.066427939 -0.314979670 -0.055324916  0.694289684 -0.1291244667
  153  0.184983376  0.148353881 -0.150962100 -0.654968829  0.1642474995
  154  0.715343648  0.142466716  0.245592913 -0.478584525  0.1597009918
  155 -0.629543403  0.165512951 -0.215878819  0.343236588  0.2448800204
  156 -0.429802838 -0.459555200  0.029592324 -0.366885075 -0.2379107433
  157  0.084630221 -0.434813582 -0.246767077 -0.175330531 -0.0588865738
  158  0.424154395 -0.363153103 -0.238555398  0.856937833 -0.0756679113
  159 -0.033793202  0.239291030  0.202313197 -0.309993616  0.0629180517
  160  0.597059558 -0.659184214  0.297533100 -0.312748728  0.0235083427
  161  0.733740009 -0.309408942  0.031896739  0.028630601 -0.2314032396
  162  0.297578395 -0.386759713  0.048467538 -0.717802641  0.0399522713
  163  0.574778024 -0.621948484 -0.148509938 -0.859748968  0.2503747424
  164  0.092913087  0.210908474 -0.182127441  0.489019887 -0.0892991046
  165 -0.309046821 -0.136790199  0.058006167 -0.699147003 -0.0358235741
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  587  0.234913034 -0.115966372  0.206426160 -0.036732869  0.0001259274
  588  0.027930249 -0.462352353 -0.147488731 -0.710204028 -0.2284384707
  589  0.312808335 -0.112905301  0.161872813 -0.152587956  0.1213749368
  590  0.459424330  0.465599586  0.171235558  0.775407674  0.1329698029
  591  0.360876983 -0.169137103  0.229522769 -0.841978385 -0.1472491308
  592 -0.099504341  0.482388139 -0.269679625  0.450490850 -0.2703841600
  593 -0.206737565 -0.146818029  0.241235997 -0.470763990 -0.0326610006
  594 -0.095860212  0.449302546 -0.125760541  0.301521795 -0.1636596096
  595  0.425622192 -0.589064904  0.153578270  0.739240044 -0.2256787333
  596 -0.571484380 -0.245511019  0.033394957 -0.245686292 -0.2025073286
  597 -0.193907394  0.269649401  0.202314895  0.215584258  0.0764715019
  598  0.602160580  0.375354277  0.103003543  0.596065086 -0.1414059664
  599 -0.147390576  0.231901609 -0.289245880 -0.617073009 -0.1224691470
  600 -0.482433744  0.699883319  0.234048997 -0.611877315  0.2060553172
  601 -0.596219128 -0.625309344  0.224873753 -0.721972457  0.2076114845
  602  0.040531950  0.444537398 -0.269608909 -0.661322607 -0.0862838659
  603 -0.150772554  0.162197020 -0.278136696  0.438943602 -0.2721843219
  604 -0.124847765 -0.032819154 -0.292157430  0.579152431 -0.1380904778
  605  0.598367079  0.164920869  0.071578916 -0.565157179  0.0351970062
  606 -0.434684478 -0.487493846  0.210115100 -0.343342357 -0.2561932288
  607  0.127350250  0.201257747  0.254396063  0.012700290 -0.2501455712
  608 -0.250993652  0.266434146  0.155006871  0.994062451 -0.2518061010
  609 -0.029188658 -0.145828181  0.237825514 -0.374877885 -0.1687024235
  610 -0.512719771 -0.382308382 -0.296878298 -0.397775916 -0.0154905776
  611 -0.527189676  0.450477510 -0.121830408  0.288980955  0.2168503028
  612 -0.086242025  0.227176255  0.291270824  0.373916879 -0.0506337994
  613  0.339376673  0.371688763  0.160241122 -0.695463892  0.2562460112
  614 -0.688683211  0.649069778 -0.277625776  0.266784370 -0.1736507609
  615 -0.624474879 -0.039544800  0.024172326  0.617931469 -0.1349841675
  616 -0.382240373  0.560177052  0.217174890 -0.745757868 -0.0287069665
  617  0.557407203  0.689592185  0.051506712  0.749445705  0.0918887277
  618  0.079732944  0.570989619  0.261655334  0.723944398  0.1790310526
  619 -0.265662633  0.468518121  0.043860949  0.464441888  0.0460474935
  620  0.257634295 -0.464809164  0.153127160 -0.211852576  0.1389214447
  621  0.146717785 -0.289300234 -0.045534627  0.946450006 -0.0738962212
  622 -0.246065390 -0.077161294  0.282120039 -0.362649352  0.1823006499
  623 -0.304057977 -0.318316392  0.250336751  0.239329060 -0.0831105149
  624  0.376391344  0.047772035 -0.082959739 -0.193442977 -0.1255363552
  625 -0.718240927  0.615914256  0.057670728 -0.923320075 -0.1690629888
  626  0.538086428  0.230821112  0.016618674 -0.624700505  0.1600661319
  627  0.312169748 -0.412040988  0.192703862  0.263335141 -0.0544434933
  628  0.063951834 -0.393170418  0.139057235  0.839087631  0.1914672181
  629  0.691481393  0.080486012  0.029729679  0.483500420  0.1173740401
  630  0.173581694 -0.658051942 -0.083944090  0.389581867  0.0274115909
  631 -0.776985802 -0.032470244 -0.168173919 -0.096278044 -0.0329744186
  632 -0.383635581  0.086511381 -0.264262358 -0.174893650 -0.1916169434
  633 -0.094811192 -0.151909541  0.192253653  0.634176768 -0.0735617373
  634 -0.470059764  0.201954242  0.088578604  0.622187521  0.1272801056
  635  0.756702040  0.522555888 -0.285784343  0.537076869  0.1905663748
  636 -0.333980651 -0.492880160  0.157384532 -0.661850568  0.2337354315
  637 -0.214656855  0.295559307  0.081618684  0.191188056 -0.1930174014
  638 -0.724172570  0.338392630 -0.273515696  0.266614991  0.1247812141
  639  0.527835871 -0.047726566  0.118659800 -0.934646453  0.1942051738
  640 -0.299752630 -0.146110250  0.210513610 -0.399889355 -0.1310724806
  641  0.237478807  0.494095902  0.290615144 -0.014929474  0.0257139728
  642  0.421570815 -0.660770370 -0.130089158 -0.814020081  0.1710245984
  643 -0.308286600  0.141582565  0.182877641 -0.848203228 -0.0078175947
  644  0.779628134 -0.198861457 -0.247932919  0.793969316 -0.2591839395
  645 -0.556761448  0.141052068 -0.001783839  0.373727350 -0.0065062730
  646 -0.739864260 -0.301648902  0.081589012 -0.575256841 -0.0534146462
  647  0.027000175 -0.045261472 -0.216165314 -0.547821425  0.2460041159
  648 -0.787130888  0.348284460  0.151737885 -0.634597099  0.2099887100
  649 -0.541691194  0.109233852 -0.086476319 -0.351553001  0.1334511913
  650  0.446439570  0.016259438 -0.051719335  0.420966641  0.0268250098
  651 -0.385610797  0.228572170 -0.169860710  0.620716625 -0.0071681803
  652  0.398907561 -0.234606567 -0.185192000 -0.629120291  0.2532380979
  653  0.057028283 -0.395829807  0.305766266  0.539953814  0.0172964362
  654 -0.338087818 -0.705571433 -0.178809070  0.653710322  0.0218964932
  655  0.009400660  0.190578601 -0.298526114 -0.812137365  0.2271150298
  656 -0.503811050 -0.537258569 -0.043439862 -0.899908104 -0.1090307121
  657 -0.702197413 -0.342830254  0.085965332  0.362375110 -0.2364285971
  658 -0.573455669 -0.640964730  0.105224649 -0.505732106 -0.2716055305
  659  0.289689904  0.261586791  0.299717071  0.360506305  0.2274853690
  660  0.605071806  0.127104726 -0.218846040 -0.845751150 -0.1504940397
  661 -0.141387621  0.376992953  0.155237617  0.025106051 -0.1407297817
  662  0.361640067  0.283155708  0.094937849  0.122361924 -0.0773901277
  663 -0.267603903 -0.421606190 -0.058015069  0.591228825  0.0267224206
  664  0.598346935  0.642108797  0.156307075 -0.492855269 -0.0341337819
  665  0.639238224 -0.318714407 -0.136703038 -0.865200533 -0.1663954954
  666 -0.092847965  0.291709490  0.142787845 -0.565373492  0.0626927876
  667 -0.285191807  0.397754401 -0.244657156  0.959454824 -0.1699542684
  668  0.779330716 -0.033191832 -0.017097915 -0.139750428  0.0776495146
  669 -0.646054156 -0.098430647  0.159448645  0.006861217  0.0598752239
  670  0.287051863 -0.385676121 -0.117423502  0.480582961 -0.0349594167
  671  0.708731958 -0.678759989 -0.078430494  0.982120107  0.0273003056
  672 -0.008006929  0.469361531 -0.053165019 -0.676278394 -0.0954880542
  673  0.320433709 -0.688230314 -0.057779831 -0.824601262  0.0640293711
  674  0.425022332 -0.246187780  0.022403705  0.268092733 -0.1522099943
  675  0.534438502  0.698151473  0.310513456  0.289475917  0.1634664518
  676 -0.404131536 -0.032376598  0.177331802  0.887074779 -0.2616896354
  677  0.208199481 -0.265078125 -0.123287057 -0.765459966 -0.1285511802
  678  0.217717910 -0.065830924  0.234747902 -0.896955673 -0.1419712247
  679 -0.559992324  0.291070365 -0.054903073 -0.135131253 -0.2341050201
  680 -0.338105080 -0.583662134  0.254845519  0.617278815  0.2095493778
  681 -0.027914866  0.228432003 -0.300174180  0.961418391 -0.0086199132
  682 -0.144268653  0.533705410 -0.073537484  0.241663197  0.1100590506
  683 -0.633628189 -0.568669723 -0.013175627  0.387149988  0.2169105231
  684  0.221943863  0.229175188 -0.177045445 -0.857325886 -0.2052649621
  685 -0.495844962 -0.259335296  0.142208213 -0.247241377 -0.2196797441
  686  0.693819910 -0.690227289  0.228505902  0.012324972 -0.1895854307
  687  0.322037157 -0.472149841 -0.198552333 -0.905204894  0.1990643250
  688  0.622560764  0.310817975  0.287782716 -0.908213433  0.1858796014
  689  0.522949249 -0.406661395  0.262758780 -0.397558645  0.1930442489
  690 -0.203668770 -0.273214194 -0.073457589 -0.358908601  0.1200116227
  691 -0.153932820  0.088719398  0.226313345  0.057934755 -0.1020720899
  692  0.501264699 -0.317844791 -0.099979146 -0.160603646 -0.2252802700
  693  0.477791284  0.221591289 -0.267800515  0.450545571 -0.1184493991
  694 -0.034757942 -0.087376371  0.082464304  0.077610393 -0.0080722313
  695 -0.395452943 -0.671822468 -0.226289532  0.687133828 -0.1453654724
  696  0.753705238  0.484648761  0.012113336 -0.252317068 -0.1667481225
  697 -0.302794340  0.313528170  0.211942381 -0.778146914 -0.2054226411
  698 -0.710769114 -0.217144458 -0.058918632  0.583030106  0.0525267054
  699  0.731428061 -0.028008793 -0.011201324 -0.371573796  0.0016726081
  700 -0.693931047  0.585969527 -0.135598513 -0.593853856 -0.1147935982
                 x6            x7            x8            x9           x10
  1    5.566042e-04  2.264921e-04 -1.543385e-03 -9.408157e-04 -8.043299e-04
  2   -3.997476e-04 -9.383013e-04 -1.931769e-03  1.896923e-04  2.002264e-04
  3    4.560863e-04 -2.043715e-04 -3.718534e-04 -7.278823e-04 -1.274063e-03
  4    3.029882e-05 -6.270324e-04 -1.900189e-03 -9.803119e-04  2.014658e-03
  5    1.142412e-03  5.802827e-04  1.820922e-03  9.285208e-04  8.597262e-04
  6    2.096491e-04 -1.027100e-04  1.653021e-03 -3.016773e-04 -8.363059e-04
  7    7.500921e-04  1.008420e-03  1.369678e-03 -1.119151e-03 -1.738263e-03
  8   -4.152225e-04  7.419433e-04  1.362465e-03  9.052341e-04  1.488933e-03
  9   -3.699993e-04 -1.393993e-04  1.128897e-03  1.283570e-03  1.957007e-03
  10   1.438554e-03  1.469723e-04  4.959361e-04 -3.895243e-04 -1.774712e-03
  11   1.962975e-04 -3.221995e-04  1.503066e-03 -1.005716e-03 -8.786702e-04
  12   1.557747e-03  3.127231e-04  1.378031e-03 -1.152779e-03 -5.292290e-04
  13  -1.459955e-03 -8.812692e-04  1.187672e-03  6.742948e-04 -9.473019e-04
  14  -1.516294e-03 -7.810508e-04 -1.678080e-03 -3.109939e-04  1.448477e-03
  15   5.320651e-04  1.745492e-04 -1.166467e-03 -8.026462e-04  4.505775e-04
  16   1.564936e-03  5.920247e-05  3.054272e-04 -1.273107e-03  8.329314e-04
  17   4.902031e-06 -8.936403e-04 -4.401432e-04  1.136843e-03  1.882130e-03
  18  -1.184845e-03  5.820652e-04  5.474033e-04  1.256624e-03 -1.514242e-04
  19   1.259782e-03 -7.375161e-04 -6.654706e-04 -1.803585e-04 -1.096978e-03
  20   1.186367e-03  8.261470e-04 -4.295461e-04 -1.252616e-03 -2.101401e-05
  21  -1.063580e-03 -5.176339e-04 -2.107774e-03 -2.038737e-04  6.191422e-04
  22   1.579057e-03  8.928919e-04 -5.454480e-04  9.025507e-04  1.808677e-03
  23   8.770445e-04 -3.539220e-05 -1.724779e-03 -1.634234e-04 -1.882376e-03
  24   8.989437e-04  9.251045e-04 -9.549897e-04  1.298117e-03 -1.511906e-03
  25   8.767975e-04 -4.221556e-04 -5.809517e-04 -1.372801e-04 -1.096399e-05
  26  -1.420581e-03  5.537091e-04  1.506962e-03 -2.615700e-05 -9.888560e-04
  27   1.545046e-03 -5.098386e-04  1.760621e-03 -1.316474e-04  2.427311e-04
  28   2.722202e-04  5.998508e-04 -4.635826e-04  7.418826e-04  1.256302e-03
  29  -8.586131e-04 -8.792059e-04  1.705947e-03  8.741231e-04 -9.288073e-04
  30  -1.472365e-03 -3.883673e-04  1.310730e-03  2.687586e-04  2.971149e-04
  31   3.277090e-04  3.984396e-04  7.246621e-04  1.138036e-03 -9.776454e-04
  32  -7.489273e-05 -9.402023e-04  2.598870e-04  3.685147e-06  1.063606e-03
  33   1.187878e-03 -8.915793e-04  6.730130e-04 -9.068336e-04  1.246869e-03
  34   1.512863e-03  2.568243e-04  6.071531e-04 -3.101566e-04  5.125964e-04
  35   8.999539e-04 -8.088995e-04 -1.246592e-03  5.738621e-04 -1.602811e-03
  36   1.034665e-03 -1.032485e-03 -7.153241e-05 -2.713748e-04 -8.799087e-04
  37   6.059796e-04 -6.367769e-05 -9.184590e-04 -1.235414e-03 -1.807854e-03
  38  -1.227713e-04  1.002994e-03  2.041945e-03  6.501756e-04  1.172091e-03
  39  -2.529543e-04 -9.715139e-04 -1.743960e-03  1.111404e-03  2.780624e-04
  40  -1.523048e-03 -4.730300e-04  1.963475e-03 -1.184899e-03 -6.646633e-04
  41  -1.052266e-03  9.725654e-05  1.387949e-03  3.757544e-04  9.326304e-04
  42   4.660956e-04  8.783834e-04  1.822716e-03  1.761906e-04 -6.943110e-04
  43   1.307585e-03 -7.625163e-04  9.697114e-04  8.729289e-04  2.785155e-04
  44   4.328495e-04 -8.940375e-04 -1.972947e-03 -6.946143e-04  1.258875e-03
  45  -1.396642e-03  1.024487e-03 -4.001896e-04  8.990309e-04 -1.509882e-04
  46  -1.596029e-03  3.101298e-04  6.308958e-04  1.964463e-04 -3.714282e-04
  47  -3.472405e-04  1.082330e-04  1.862874e-03  1.036786e-04  9.899517e-04
  48  -1.190681e-03  2.922781e-05  1.466455e-03  1.332670e-03  4.002675e-04
  49  -9.113212e-04 -3.819522e-04 -8.141935e-04  3.469984e-04  1.048557e-03
  50   3.425424e-04  1.025963e-03  1.781187e-03 -1.319881e-03 -1.617348e-03
  51   5.292672e-04 -7.630400e-05  1.708649e-03  1.121080e-03  1.950737e-03
  52  -1.250239e-03  1.060820e-03 -1.579435e-03 -1.251738e-03 -1.807487e-03
  53   1.309953e-04  1.704795e-04  8.723673e-04  1.137683e-03 -9.569558e-05
  54   7.785418e-04  5.296908e-04  5.404982e-04 -3.613941e-05 -1.409742e-03
  55   1.282881e-03 -1.181099e-03 -3.247167e-04  6.304388e-04 -8.455969e-05
  56   5.372080e-04  6.986180e-04 -1.515452e-03  6.848480e-05 -1.395185e-03
  57  -9.630611e-04  1.017767e-03 -2.139119e-03  5.758090e-04 -9.159353e-04
  58  -4.760320e-04 -1.030266e-03  1.790531e-03  3.342541e-04 -1.671258e-03
  59   5.427274e-04 -2.976569e-04  5.598802e-04 -7.769345e-04 -5.405487e-04
  60  -8.586374e-04 -1.208332e-04 -2.097358e-03 -7.577209e-04  8.030375e-04
  61   2.713066e-04  9.418858e-04 -3.819882e-04  5.722449e-04  1.657964e-03
  62  -8.969803e-04 -7.651993e-04 -6.440029e-04  3.831902e-04  8.514388e-05
  63  -1.150163e-03  7.080415e-04 -4.837590e-04 -6.504933e-04  7.494561e-04
  64   3.825083e-05  1.085595e-03  1.519181e-03 -3.725712e-04 -3.652340e-04
  65   9.694796e-04  1.046617e-03  6.883065e-04 -6.544321e-04 -6.003995e-04
  66   1.223628e-03  5.055737e-04  1.942500e-03 -2.476012e-04 -9.023027e-04
  67   5.984294e-04 -9.083317e-04 -1.264629e-03 -1.106144e-03 -1.080733e-04
  68   1.383627e-03 -1.095021e-03  1.395173e-03  2.264928e-04  5.623025e-04
  69   7.047433e-04  8.293895e-04 -5.492906e-04  7.894931e-04 -1.539882e-03
  70  -7.382019e-04  4.935950e-06  3.468602e-04  8.457839e-04 -1.780536e-03
  71   8.778180e-04  2.814685e-04 -1.955057e-03  1.253690e-03  9.833258e-04
  72  -1.089281e-03  4.763764e-04 -1.670845e-03  4.017423e-04 -1.469273e-03
  73  -4.069132e-04  2.262620e-04 -1.225235e-03  7.214215e-04  1.989649e-03
  74  -4.252807e-05  5.671527e-04  1.907045e-03  8.959201e-04 -5.603512e-04
  75   1.398479e-03 -7.176772e-04  4.827611e-04  1.735707e-04  1.158513e-03
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  591 -9.436827e-04 -7.302720e-04  5.793706e-04 -1.794188e-04 -1.757746e-03
  592 -2.825364e-04 -3.717976e-04  5.111302e-04 -3.332539e-04 -7.197519e-04
  593  1.222572e-03 -7.384110e-04  1.567073e-03 -7.593062e-04 -6.426018e-04
  594  1.744539e-04  3.828556e-04  1.761209e-04  8.673885e-04  1.780898e-03
  595  3.160200e-04 -2.454125e-04  4.777749e-04  1.059536e-05 -4.812885e-04
  596 -1.978815e-04 -9.118666e-04 -1.038145e-04 -8.203389e-04 -1.071951e-03
  597  1.278841e-04  3.733149e-04 -1.312636e-03 -1.750320e-04  1.741624e-03
  598 -1.159372e-03  8.216407e-04 -7.708314e-04  8.729129e-05 -9.448842e-04
  599 -2.563615e-04 -1.034758e-03  2.435989e-04  1.080278e-03 -3.517849e-04
  600  1.600759e-04 -1.012704e-03  1.666271e-04  1.071451e-03 -8.216311e-04
  601 -3.675572e-04 -7.302480e-04 -5.863696e-04 -8.822597e-04 -5.955378e-04
  602 -1.255504e-03 -4.465220e-04  5.653589e-05 -1.224214e-04 -1.756236e-03
  603  5.322657e-04 -5.086540e-04 -1.824740e-03  1.048345e-03  8.923764e-05
  604 -7.021613e-04  9.989070e-04  1.249757e-03  1.134969e-03  9.689655e-04
  605 -8.479941e-04 -3.667873e-04 -2.840658e-04 -1.205912e-03  1.072347e-03
  606 -6.348167e-04 -6.458211e-05  7.913659e-04 -1.139837e-03  1.360607e-03
  607  7.501382e-04 -2.916743e-04  1.375729e-03  9.250695e-05 -2.307939e-04
  608 -7.121468e-05  1.268983e-04 -1.578258e-03  4.390469e-04  1.793431e-03
  609  8.076414e-04  3.483433e-04 -5.666205e-04  3.746662e-04 -3.970329e-04
  610  2.949806e-04  4.508754e-04  1.597446e-03  6.709520e-04  1.356496e-03
  611  1.041455e-03 -2.650160e-04 -1.685705e-03  7.059699e-04  1.117490e-03
  612  7.506101e-04  9.934521e-04  7.203616e-04 -4.909541e-04 -1.833496e-03
  613  1.085960e-04 -1.042629e-04  1.561724e-03 -1.071607e-03 -2.417585e-04
  614  1.129997e-04  6.105817e-04 -1.329021e-03 -7.463050e-04  7.335286e-04
  615 -1.368600e-04  7.090905e-04  1.732558e-03 -5.753031e-04  3.157563e-04
  616  1.324459e-03 -3.617209e-04  5.108394e-04  4.285225e-04  1.207970e-03
  617  1.189490e-03  9.528613e-04 -3.508246e-04  2.715383e-04 -5.129094e-04
  618  1.043574e-03  8.445553e-04  7.995918e-04  2.353398e-04 -1.754321e-03
  619  6.397746e-04  1.072608e-03 -1.352507e-03  8.166195e-04 -1.890548e-03
  620  1.011405e-03 -7.621589e-04 -9.854871e-04 -5.086992e-04 -1.159691e-03
  621  7.529302e-04 -4.371544e-05  1.389954e-04  2.050681e-04  2.692694e-04
  622  3.843576e-04 -1.303715e-05 -1.067728e-03 -1.711633e-04  2.285057e-05
  623  5.565687e-04  2.894002e-04 -1.094010e-03 -1.282448e-03 -1.653060e-03
  624 -4.542939e-05 -5.130019e-04 -8.620742e-04 -1.591951e-04 -1.076093e-03
  625 -4.318746e-04  1.127150e-03 -2.080630e-03 -1.701750e-04 -1.232547e-03
  626 -1.393827e-03 -9.190046e-04  2.033660e-03  2.278891e-04 -1.993776e-03
  627 -1.399570e-04  5.309774e-04  7.197330e-04 -1.231884e-03 -1.017821e-03
  628  1.672884e-05  1.647992e-04 -1.037090e-03  5.661611e-04  8.432185e-04
  629 -7.940907e-04  4.757623e-04 -3.601754e-04  5.478635e-04 -1.014125e-03
  630  1.444364e-03 -5.216714e-04  1.086371e-03  2.614772e-04  1.174783e-03
  631  4.239189e-04  2.057006e-04 -9.246729e-04 -5.964791e-04 -1.237649e-03
  632 -2.577554e-04  4.487250e-04  1.336719e-04 -1.244010e-03  1.089328e-03
  633  1.136370e-03  1.067622e-03 -1.549376e-03  2.050310e-04 -1.629989e-03
  634 -1.368368e-03 -2.788958e-04 -2.002985e-03  6.939457e-04  1.614414e-03
  635  8.792670e-04 -2.667222e-04  2.034125e-04  1.242070e-03 -1.137575e-03
  636  1.148989e-03 -7.272240e-04 -1.546380e-03  2.810396e-04  6.482254e-04
  637 -8.496400e-04 -1.142210e-05  1.907753e-03 -5.827283e-04  1.420168e-03
  638  1.559634e-03 -9.888706e-04 -3.278398e-06  8.742078e-04 -1.920094e-03
  639  4.376988e-04 -2.642593e-04  1.797244e-03  8.985041e-04 -2.348916e-04
  640 -4.272042e-04 -1.362427e-04  1.050217e-03 -3.577471e-04  4.962318e-04
  641  8.560990e-04 -6.054426e-04  4.269538e-04 -8.176625e-04 -7.248327e-04
  642 -1.537521e-03 -2.994862e-04  2.082518e-03 -1.237454e-03 -1.916809e-03
  643  2.355161e-04  8.172197e-04 -1.947108e-03 -1.261605e-03  1.881970e-03
  644  1.065417e-03  4.484399e-04 -1.169059e-03 -1.196442e-03 -4.507712e-04
  645  1.508766e-03  3.857475e-04  1.974070e-03  1.742952e-04 -1.020746e-03
  646 -7.820298e-05  6.677948e-04 -4.583754e-04  9.931134e-04 -1.454607e-03
  647  4.536453e-04 -1.104642e-03 -6.164778e-04 -1.371567e-04 -1.081026e-03
  648 -1.368777e-03 -8.702099e-04  1.159589e-03 -2.842695e-04  1.582906e-03
  649 -1.466195e-03  7.025974e-04 -3.593286e-04 -2.659264e-04 -1.404372e-03
  650 -1.688480e-04 -7.774344e-05  1.559973e-03  4.715410e-04 -7.815472e-04
  651  1.438141e-03  3.209289e-04  1.312346e-03  1.126477e-03  3.049279e-04
  652 -8.526746e-04 -8.031071e-04 -6.511551e-04  7.713136e-04 -1.679048e-03
  653 -9.124858e-04  1.042365e-04  1.611107e-03 -1.234607e-03 -1.023670e-03
  654  3.476339e-04 -6.705186e-04  1.063846e-03  2.037608e-05 -1.139167e-04
  655  1.283505e-05  4.696152e-04  1.764062e-03 -1.177623e-03 -1.349556e-03
  656 -6.716530e-04  7.459433e-04  1.631323e-03  9.280488e-04  1.841400e-03
  657 -7.716980e-04 -1.026573e-03 -1.944766e-03  1.127279e-03 -9.834506e-04
  658  4.940418e-04 -5.930910e-04  1.645150e-03 -4.484483e-04  1.656338e-03
  659 -7.831103e-04  4.135382e-06  4.549673e-04  1.215549e-03 -7.333129e-04
  660 -4.783365e-04  2.459877e-04  8.105396e-04 -4.128596e-04 -8.921506e-04
  661 -2.086139e-04 -1.535463e-04  1.694756e-03  1.092581e-04  8.908523e-04
  662 -3.249986e-04  1.761256e-04  6.504309e-04  4.521243e-05 -1.072567e-03
  663  1.281075e-03  9.481783e-04  1.936632e-03 -1.637784e-05 -1.887114e-03
  664 -1.512958e-04  5.641298e-04 -1.923929e-03  7.429928e-04 -9.966609e-05
  665  8.582601e-04 -2.212862e-05  9.963226e-04 -1.187857e-03 -1.915152e-04
  666 -8.338035e-04 -5.145295e-04  1.997831e-03 -8.443434e-04  1.948157e-03
  667  6.730232e-05 -2.900856e-04 -1.285785e-03  6.020678e-04 -1.110517e-03
  668 -4.966011e-04  8.654182e-04 -1.852405e-03  5.805346e-04 -1.993987e-03
  669 -8.708573e-04  1.207620e-04  1.608310e-03  1.016406e-04  7.764659e-04
  670  4.743870e-04 -6.769401e-04 -8.302775e-04  1.043149e-03 -1.068283e-03
  671  1.131042e-03  5.381167e-04  7.239868e-04  2.347780e-05  1.244355e-03
  672  2.602750e-04 -9.831643e-04 -4.881085e-05  2.750803e-04  8.430075e-04
  673 -7.084591e-04 -5.862758e-04 -1.239960e-03 -3.338954e-04 -4.879093e-04
  674  2.201914e-04  1.004165e-04 -2.191172e-03  4.517426e-04 -1.657603e-03
  675  1.389031e-03 -1.002328e-03  8.948956e-04  7.889510e-04 -1.437682e-03
  676 -1.557809e-03 -9.445730e-04  7.725822e-04  7.337492e-04  1.553062e-03
  677 -3.047378e-04 -9.262646e-04  4.684808e-04 -6.791039e-05  5.425400e-04
  678 -1.290772e-03 -8.440922e-04 -1.802606e-03  1.262390e-03  1.601849e-03
  679  1.893974e-04 -6.003521e-04 -1.920532e-03 -1.244380e-03 -5.136050e-04
  680 -1.493033e-03 -6.238918e-04  3.237390e-04 -3.497797e-05  1.186967e-03
  681 -1.277005e-03 -5.922805e-07  1.154542e-03 -1.220109e-03 -8.288553e-04
  682  1.049694e-03 -5.268740e-04 -1.594274e-03 -1.872454e-04 -1.237285e-03
  683  1.539792e-03 -5.486441e-05 -6.552356e-04 -1.635941e-04 -9.567401e-05
  684  5.425636e-04  1.162779e-04  9.819119e-04  1.555495e-04  1.454030e-04
  685  1.120584e-03  1.044148e-03  2.307070e-05  1.223143e-03 -1.748906e-03
  686  8.605288e-04 -2.726217e-04 -2.058504e-03  1.030962e-03  1.281476e-04
  687 -5.098038e-04 -3.087837e-04  1.741600e-03  1.012182e-03  1.476071e-03
  688  4.193938e-04  7.195156e-04  1.546390e-03  8.170534e-04  1.520577e-03
  689 -1.517359e-04  2.977803e-04 -1.170879e-03 -7.499277e-04 -6.406258e-04
  690 -6.248853e-04  2.117938e-04 -1.228448e-03  7.959564e-04 -9.713102e-04
  691  7.101727e-05 -2.063878e-04  4.484974e-04  1.103114e-03  1.637948e-03
  692  2.100184e-05 -3.293398e-04  1.818049e-03  6.360228e-05 -1.081713e-03
  693 -4.367335e-04  9.267739e-04  1.052268e-03  1.112177e-04  7.188777e-05
  694  1.162013e-03  3.438292e-04  6.589495e-06  5.364164e-04 -9.347832e-04
  695 -5.369514e-04 -3.310634e-04 -2.188569e-03  9.304767e-04  1.402904e-03
  696 -1.375617e-03 -4.456061e-04  2.056893e-03  1.161906e-03 -9.762699e-04
  697  2.338727e-04  5.586957e-04  8.000067e-04  1.228751e-03 -8.870067e-05
  698 -7.754415e-04 -7.800744e-04 -1.345593e-03  7.740539e-04  7.692875e-04
  699  1.490782e-03  2.032781e-04 -5.456141e-04  1.134862e-03  6.022075e-04
  700  7.495179e-04  6.343609e-04 -1.577492e-03  2.554277e-04  1.151931e-03

Code
  x$sds
Output
         x1        x2        x3        x4        x5        x6        x7        x8 
  0.2871632 0.2809696 0.2932114 0.2974998 0.2889343 0.2819647 0.2804975 0.2929078 
         x9       x10 
  0.2898016 0.2806027

Code
  x$means
Output
         x1        x2        x3        x4        x5        x6        x7        x8 
  0.5011694 0.5059652 0.4921696 0.4818135 0.5059529 0.4989024 0.5107920 0.5088933 
         x9       x10 
  0.5030058 0.4939303

Code
  x$importance
Output
     term     estimate
  1    x1 0.4513503114
  2    x2 0.4050240509
  3    x3 0.1802543852
  4    x4 0.5782718534
  5    x5 0.1561788555
  6    x6 0.0009105000
  7    x7 0.0006527584
  8    x8 0.0012708119
  9    x9 0.0007807150
  10  x10 0.0011424776

Code
  x$d_bar
Output
  [1] 1.16272

Code
  x$aoa_threshold
Output
  [1] 0.3080491

Code
  x$blueprint
Output
  Formula blueprint:

  # Predictors: 10 
    # Outcomes: 1 
     Intercept: FALSE 
  Novel Levels: FALSE 
   Composition: tibble 
    Indicators: none

AFIT-R/vip documentation built on Aug. 22, 2023, 8:59 a.m.