tests/testthat/_snaps/area_of_applicability.md

In waywiser: Ergonomic Methods for Assessing Spatial Models

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
  result.1    x1 0.4513503114
  result.2    x2 0.4050240509
  result.3    x3 0.1802543852
  result.4    x4 0.5782718534
  result.5    x5 0.1561788555
  result.6    x6 0.0009105000
  result.7    x7 0.0006527584
  result.8    x8 0.0012708119
  result.9    x9 0.0007807150
  result.10  x10 0.0011424776

Code
  x$d_bar
Output
  [1] 1.16272

Code
  x$aoa_threshold
Output
  [1] 0.3080491

Code
  x$blueprint
Message
  Formula blueprint:
  # Predictors: 10
  # Outcomes: 1
  Intercept: FALSE
  Novel Levels: FALSE
  Composition: tibble
  Indicators: none

waywiser documentation built on April 16, 2025, 1:10 a.m.