Classification Neural Network Learner
Source:R/learner_deepnet_classif_nnTrain.R
mlr_learners_classif.nnTrain.RdCalls deepnet::nn.train() from deepnet.
Parameters
| Id | Type | Default | Levels | Range |
| activationfun | character | sigm | sigm, linear, tanh | - |
| batchsize | integer | 100 | \([1, \infty)\) | |
| hidden | untyped | 10L | - | |
| hidden_dropout | numeric | 0 | \([0, 1]\) | |
| initB | untyped | - | - | |
| initW | untyped | - | - | |
| learningrate | numeric | 0.8 | \([0, \infty)\) | |
| learningrate_scale | numeric | 1 | \([0, \infty)\) | |
| max_number_of_layers | integer | - | \([1, \infty)\) | |
| momentum | numeric | 0.5 | \([0, \infty)\) | |
| numepochs | integer | 3 | \([1, \infty)\) | |
| output | character | - | sigm, linear, softmax | - |
| visible_dropout | numeric | 0 | \([0, 1]\) |
References
Rong, Xiao (2022). “deepnet: Deep Learning Toolkit in R.” R package version 0.2.1. doi:10.32614/CRAN.package.deepnet , https://CRAN.R-project.org/package=deepnet.
See also
as.data.table(mlr_learners)for a table of available Learners in the running session (depending on the loaded packages).Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html#sec-learners
mlr3learners for a selection of recommended learners.
mlr3cluster for unsupervised clustering learners.
mlr3pipelines to combine learners with pre- and postprocessing steps.
mlr3tuning for tuning of hyperparameters, mlr3tuningspaces for established default tuning spaces.
Super classes
mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifNNTrain
Methods
Inherited methods
mlr3::Learner$base_learner()mlr3::Learner$configure()mlr3::Learner$encapsulate()mlr3::Learner$format()mlr3::Learner$help()mlr3::Learner$predict()mlr3::Learner$predict_newdata()mlr3::Learner$print()mlr3::Learner$reset()mlr3::Learner$selected_features()mlr3::Learner$train()mlr3::LearnerClassif$predict_newdata_fast()
Examples
# Define the Learner
learner = lrn("classif.nnTrain")
print(learner)
#>
#> ── <LearnerClassifNNTrain> (classif.nnTrain): Training Neural Network by Backpro
#> • Model: -
#> • Parameters: output=softmax
#> • Packages: mlr3 and deepnet
#> • Predict Types: [response] and prob
#> • Feature Types: integer and numeric
#> • Encapsulation: none (fallback: -)
#> • Properties: multiclass and twoclass
#> • Other settings: use_weights = 'error', predict_raw = 'FALSE'
# Define a Task
task = tsk("sonar")
# Create train and test set
ids = partition(task)
# Train the learner on the training ids
learner$train(task, row_ids = ids$train)
print(learner$model)
#> $input_dim
#> [1] 60
#>
#> $output_dim
#> [1] 2
#>
#> $hidden
#> [1] 10
#>
#> $size
#> [1] 60 10 2
#>
#> $activationfun
#> [1] "sigm"
#>
#> $learningrate
#> [1] 0.8
#>
#> $momentum
#> [1] 0.5
#>
#> $learningrate_scale
#> [1] 1
#>
#> $hidden_dropout
#> [1] 0
#>
#> $visible_dropout
#> [1] 0
#>
#> $output
#> [1] "softmax"
#>
#> $W
#> $W[[1]]
#> V1 V10 V11 V12 V13
#> [1,] 0.019961878 -0.025183103 -0.0605451064 -0.026534624 0.060092870
#> [2,] 0.061062161 0.075516614 -0.0009543817 0.028019629 -0.021642384
#> [3,] -0.043105552 0.023781927 0.0134439084 -0.007489537 0.078244983
#> [4,] 0.020652701 0.064701649 -0.0158064716 -0.081228168 0.011420047
#> [5,] -0.032068575 0.093082185 0.0956799633 -0.007980549 -0.049907659
#> [6,] 0.005207414 -0.007955068 0.0775128871 0.076697066 0.003845173
#> [7,] 0.051341494 0.088356797 -0.0421047271 -0.022785582 -0.047173786
#> [8,] -0.003809742 -0.028012524 0.0790077414 0.092666668 0.033779345
#> [9,] 0.099274229 0.016662391 -0.0833517411 -0.007254260 0.068408457
#> [10,] 0.051568504 -0.075714122 0.0706378753 -0.092771771 -0.010597851
#> V14 V15 V16 V17 V18
#> [1,] -0.0688426251 0.002773163 -0.019761026 0.04685067 -2.882421e-02
#> [2,] -0.0002428457 0.090041916 -0.004677034 -0.07843717 -1.006866e-01
#> [3,] -0.0574986229 0.054388674 -0.062216499 -0.06794421 -9.049398e-02
#> [4,] 0.0255986091 -0.044132251 0.012791450 -0.09872370 -3.977719e-02
#> [5,] -0.0032643734 0.076113165 0.018291364 0.04170076 3.591866e-02
#> [6,] 0.0815252943 0.079197114 0.069785762 0.04772817 -8.919576e-05
#> [7,] -0.0731766781 0.014594561 -0.084490769 0.07117919 2.229742e-02
#> [8,] -0.0479702914 -0.005979562 -0.097486076 -0.07450800 -4.747166e-02
#> [9,] -0.0533452981 0.081595197 0.045474259 -0.08875849 5.249370e-02
#> [10,] -0.0293552304 0.054680322 -0.036560423 0.08807873 3.838074e-03
#> V19 V2 V20 V21 V22
#> [1,] -0.0279256606 0.05180125 0.021372102 -0.047155360 -0.06792478
#> [2,] -0.0263579217 -0.06685174 0.046008875 -0.103437056 0.06216193
#> [3,] 0.0780109980 0.07909481 -0.012274948 -0.095207652 0.07964586
#> [4,] -0.0006429038 0.06793144 -0.006396291 -0.082147638 0.07580359
#> [5,] 0.0322787248 -0.03916923 -0.079275486 0.009385387 -0.02716905
#> [6,] -0.0070656890 0.05327581 -0.102256721 -0.068871862 0.05152255
#> [7,] 0.0240156591 -0.04353966 -0.064948677 -0.047278707 -0.02448111
#> [8,] -0.0487988350 0.05978573 0.056329294 0.004464404 0.01644811
#> [9,] 0.0764046512 -0.05299527 0.081736041 -0.068504208 -0.09366399
#> [10,] 0.0832165732 -0.09039246 0.012860696 0.035652407 0.07486899
#> V23 V24 V25 V26 V27
#> [1,] -0.020697308 0.005845571 -0.07356843 -0.096902416 0.001129249
#> [2,] 0.018457872 -0.066759801 -0.06967536 0.029009823 0.063881584
#> [3,] -0.037866613 0.006095138 -0.09120109 -0.050179173 -0.004959581
#> [4,] 0.071828966 0.060492755 0.06139577 -0.007959286 0.084031291
#> [5,] 0.043518182 -0.006646901 -0.05081622 -0.027744781 0.005947870
#> [6,] -0.006148865 -0.099449627 -0.04724961 -0.034631666 -0.049040691
#> [7,] 0.026316275 0.080253470 -0.05393080 -0.046422115 0.011517147
#> [8,] 0.046014549 0.005754185 -0.04559228 0.013713437 0.050760657
#> [9,] 0.075428963 -0.078156799 0.05816770 0.057029865 -0.087293969
#> [10,] -0.027171884 -0.086765319 -0.05707252 0.048721199 0.018458793
#> V28 V29 V3 V30 V31
#> [1,] -0.005497611 -0.0906362960 0.010048995 -0.100113367 0.0730452073
#> [2,] 0.072108789 -0.0007917500 0.093385564 0.029875739 -0.0307896604
#> [3,] -0.090308397 -0.0769528652 -0.054827571 0.042144351 0.0028434386
#> [4,] 0.033642124 -0.0470752030 0.048502292 -0.005026608 0.0707045277
#> [5,] 0.051533181 -0.0004080163 -0.060648618 0.027960463 0.0043996490
#> [6,] -0.070677249 -0.0637787683 0.046705315 0.021267359 -0.0215244981
#> [7,] -0.085877457 0.0865885863 -0.047833578 -0.008110129 -0.0955126304
#> [8,] 0.007764891 -0.0990193864 0.013540693 0.010812125 0.0002892051
#> [9,] -0.085749245 -0.0480235493 -0.060599529 0.054495600 -0.0468325476
#> [10,] -0.057039524 -0.0934724569 0.007221264 0.026578055 0.0523042234
#> V32 V33 V34 V35 V36
#> [1,] -0.081896288 0.069468416 0.080042880 -0.009407546 0.02721935
#> [2,] -0.048846729 -0.044657841 0.008800777 -0.083426528 0.05113453
#> [3,] -0.066410993 -0.048084289 -0.041251551 -0.045055492 0.08772511
#> [4,] 0.004094431 -0.023488754 0.093448293 0.005395869 0.01236803
#> [5,] -0.092076891 0.041168803 -0.032360835 -0.078817982 -0.08673168
#> [6,] 0.070123527 -0.015317235 -0.039317133 0.050396945 0.06454087
#> [7,] -0.023080622 -0.082119039 -0.082756061 0.012569128 0.03900268
#> [8,] -0.025263899 -0.007450759 0.044138141 -0.031699158 -0.01847814
#> [9,] 0.088790765 0.013153858 -0.020681017 -0.006674891 -0.04469673
#> [10,] -0.071795543 -0.019911142 -0.084426987 -0.014903875 -0.02049574
#> V37 V38 V39 V4 V40
#> [1,] 0.064824598 -0.053660878 -0.008754091 0.0147825797 0.040676542
#> [2,] 0.007197705 0.078334910 0.021128578 0.0581019220 -0.097794489
#> [3,] -0.053332935 0.008080243 0.037268685 0.0215660111 -0.060099315
#> [4,] 0.037319749 -0.072152844 -0.012576633 0.0629955605 0.008788154
#> [5,] 0.052595986 -0.038200721 -0.079121710 0.0204909907 0.093361578
#> [6,] 0.053304811 -0.028931782 -0.057485175 -0.0868202671 -0.014202422
#> [7,] 0.091956549 0.053984841 -0.046251115 -0.0308213008 -0.075079986
#> [8,] -0.043850614 -0.054605240 0.018086684 0.0141632091 -0.053639460
#> [9,] -0.074670702 0.064275939 -0.033917855 -0.0228243074 -0.010477396
#> [10,] 0.040696653 -0.013399033 0.009578938 -0.0005709021 -0.059726036
#> V41 V42 V43 V44 V45
#> [1,] -0.04064379 -0.004994132 -0.041875190 0.017832953 -0.031835989
#> [2,] 0.06420247 0.010849554 0.027125917 0.045025082 0.002829972
#> [3,] 0.08852646 -0.044874401 -0.050268496 0.056562787 0.088469857
#> [4,] -0.03830769 0.094676910 0.017879571 -0.050666028 0.091464560
#> [5,] 0.02240471 0.055934705 -0.004022586 0.000127597 -0.013706437
#> [6,] -0.05646117 -0.005193578 -0.027716105 0.033548842 -0.091584737
#> [7,] -0.03901712 -0.056194159 -0.033079650 -0.030931467 -0.018949472
#> [8,] -0.06373984 0.087047951 0.043466254 -0.082478072 -0.002951663
#> [9,] 0.01835949 0.064929133 -0.010942044 -0.040344950 -0.033241488
#> [10,] -0.04987114 0.011477850 0.093925146 0.095805420 -0.019043330
#> V46 V47 V48 V49 V5 V50
#> [1,] 0.07099916 -0.04415254 -0.09338012 -0.06471411 0.03840520 0.005447337
#> [2,] 0.01865049 0.03164489 0.09827971 0.03542335 -0.05543575 0.059595758
#> [3,] 0.08845636 -0.03753093 0.06469055 0.00110608 0.03539825 -0.013612474
#> [4,] 0.03481779 -0.02734573 -0.07668035 -0.08249121 0.03396747 0.039739346
#> [5,] -0.01045240 0.01250384 0.03663043 0.08487285 0.05812219 0.047287812
#> [6,] 0.08451172 0.06124607 0.06358003 -0.01179159 0.05599410 0.043426559
#> [7,] -0.05679705 0.08237042 0.06958041 0.09368709 -0.08078090 0.085416616
#> [8,] 0.02153443 -0.02497667 0.03208989 -0.03539962 -0.03517736 -0.071367764
#> [9,] 0.01156661 0.05039204 0.02471971 -0.09186818 -0.02877791 -0.046029457
#> [10,] 0.07493793 -0.04444775 0.04323834 -0.08441416 0.05745813 -0.035369871
#> V51 V52 V53 V54 V55
#> [1,] 0.01344595 -0.06360260 -0.073916933 0.039618392 0.031091831
#> [2,] 0.07001886 -0.02063344 0.012554850 -0.067821703 0.033891330
#> [3,] 0.02608026 -0.09701643 -0.025913243 -0.045455240 -0.035492007
#> [4,] 0.08534409 0.03660671 0.057016475 0.025725424 -0.036875857
#> [5,] -0.05772413 -0.08348322 0.035100179 0.028764838 0.070226294
#> [6,] -0.06214605 -0.08092459 0.078511217 0.087527925 0.008514119
#> [7,] 0.08722673 0.02688503 0.077955246 0.012692176 -0.076358719
#> [8,] 0.04318314 0.07957815 0.052895163 0.032454376 -0.057559465
#> [9,] -0.03376356 0.03864285 -0.020276447 0.047817778 -0.059000216
#> [10,] 0.09512216 0.06611356 0.002229879 0.002751557 -0.066494345
#> V56 V57 V58 V59 V6
#> [1,] -0.090285294 -0.053585406 0.004806578 -0.085475348 0.03186261
#> [2,] 0.009109454 -0.063601169 -0.059076762 0.074556163 -0.09467429
#> [3,] -0.051704618 -0.042345943 0.009987720 -0.003773468 0.05847995
#> [4,] -0.020661781 -0.072830394 0.022867625 -0.055970240 -0.07851320
#> [5,] 0.082568932 0.056595145 -0.063012680 0.043061115 -0.06204796
#> [6,] -0.074711763 0.054081278 -0.018359951 0.071943459 0.04924319
#> [7,] -0.022053545 0.002810226 -0.053487824 0.035248021 0.06192578
#> [8,] 0.028478808 -0.053541405 0.097700020 0.037595539 -0.06620131
#> [9,] -0.089568577 -0.008460581 -0.061019472 0.033883493 0.04517303
#> [10,] 0.072209410 0.045777214 0.016265486 0.005151521 -0.06526056
#> V60 V7 V8 V9
#> [1,] -0.080475626 0.08737053 0.015089296 -0.06344002
#> [2,] -0.082346944 -0.07056251 -0.072578947 0.03340944
#> [3,] -0.009436055 0.03414118 -0.073481130 -0.07917333
#> [4,] -0.084085119 0.07352267 0.066739356 0.07735977
#> [5,] 0.044658619 -0.04943234 -0.003668006 -0.04259402
#> [6,] 0.061012558 -0.04893829 -0.099709596 0.06563754
#> [7,] -0.055956351 -0.07633720 0.037414850 -0.07226934
#> [8,] 0.053105945 -0.09567113 0.003908367 -0.07218555
#> [9,] -0.077582983 -0.06160292 -0.064335598 0.03409030
#> [10,] -0.061441937 0.06766890 0.003680402 -0.04852444
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.06035170 0.08134134 0.05770551 0.05331076 0.06890548 -0.01831456
#> [2,] 0.03300674 -0.03993297 -0.06936918 0.04238107 -0.10307249 0.02620779
#> [,7] [,8] [,9] [,10]
#> [1,] -0.08139145 0.10540275 0.10770528 0.03749483
#> [2,] -0.09190306 0.02933765 -0.08177462 -0.02542688
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] 3.558303e-04 0.0029379531 0.0034744949 3.327653e-03 3.442263e-03
#> [2,] 5.437138e-05 0.0003669000 0.0003743770 4.643295e-04 5.186704e-04
#> [3,] -3.430953e-06 -0.0001157272 -0.0001996042 -8.228861e-05 -2.670015e-05
#> [4,] 2.664720e-04 0.0021560034 0.0025271723 2.464631e-03 2.557080e-03
#> [5,] -3.340867e-05 -0.0003823448 -0.0005283208 -3.724025e-04 -3.240700e-04
#> [6,] 3.138498e-04 0.0025892708 0.0030515059 2.942283e-03 3.029377e-03
#> [7,] 2.031399e-04 0.0016420786 0.0019153102 1.883910e-03 1.964453e-03
#> [8,] 1.268117e-04 0.0009912883 0.0011304843 1.158428e-03 1.214318e-03
#> [9,] -9.763776e-05 -0.0009319040 -0.0011912320 -9.907292e-04 -9.251771e-04
#> [10,] 1.584323e-04 0.0012626075 0.0014543435 1.462984e-03 1.520291e-03
#> V14 V15 V16 V17 V18
#> [1,] 0.0032085710 2.494510e-03 0.0025586146 0.0027214761 3.200608e-03
#> [2,] 0.0005986351 7.937687e-04 0.0009825155 0.0009989761 9.953112e-04
#> [3,] 0.0001087952 4.161766e-04 0.0005972455 0.0005837619 5.121103e-04
#> [4,] 0.0024310672 2.047514e-03 0.0021725001 0.0022889799 2.603803e-03
#> [5,] -0.0001458941 2.973418e-04 0.0005158919 0.0004873604 3.526844e-04
#> [6,] 0.0028266327 2.260563e-03 0.0023508001 0.0024950309 2.891662e-03
#> [7,] 0.0018819991 1.615977e-03 0.0017355842 0.0018251629 2.064851e-03
#> [8,] 0.0012046396 1.174467e-03 0.0013262761 0.0013791015 1.488203e-03
#> [9,] -0.0006600330 -5.409315e-05 0.0001826214 0.0001217744 -9.405784e-05
#> [10,] 0.0014764997 1.366623e-03 0.0015136658 0.0015805676 1.733695e-03
#> V19 V2 V20 V21 V22
#> [1,] 0.0048414207 4.296049e-04 6.028822e-03 0.0064597426 6.587841e-03
#> [2,] 0.0009572318 8.174036e-05 1.016842e-03 0.0011556243 1.123152e-03
#> [3,] 0.0002146104 1.257759e-05 7.304078e-05 0.0001367583 9.898759e-05
#> [4,] 0.0036951930 3.283011e-04 4.535002e-03 0.0048936987 4.951220e-03
#> [5,] -0.0001558396 -1.990550e-05 -4.234527e-04 -0.0003756251 -4.440658e-04
#> [6,] 0.0042738440 3.818032e-04 5.306914e-03 0.0057088771 5.800232e-03
#> [7,] 0.0028689136 2.526729e-04 3.491423e-03 0.0037733928 3.822995e-03
#> [8,] 0.0018590764 1.645047e-04 2.198770e-03 0.0024080132 2.406984e-03
#> [9,] -0.0009270088 -9.446209e-05 -1.438236e-03 -0.0014667671 -1.540367e-03
#> [10,] 0.0022652361 2.019124e-04 2.720813e-03 0.0029685151 2.978958e-03
#> V23 V24 V25 V26 V27
#> [1,] 0.0063077280 0.0060718008 5.620109e-03 0.0054687133 0.0053555934
#> [2,] 0.0011542150 0.0011649867 1.163791e-03 0.0013676425 0.0014646298
#> [3,] 0.0002041488 0.0002692788 3.480983e-04 0.0005779648 0.0006733149
#> [4,] 0.0047484282 0.0045681049 4.241695e-03 0.0042288873 0.0042092124
#> [5,] -0.0003075976 -0.0002160267 -8.497622e-05 0.0002131055 0.0003535339
#> [6,] 0.0055426779 0.0053284800 4.938293e-03 0.0048543453 0.0048026956
#> [7,] 0.0036966735 0.0035837925 3.355950e-03 0.0033740099 0.0033645727
#> [8,] 0.0023455000 0.0022863483 2.170850e-03 0.0022824366 0.0023379963
#> [9,] -0.0012996026 -0.0011332604 -8.998290e-04 -0.0005458497 -0.0004047612
#> [10,] 0.0028820475 0.0027974385 2.638263e-03 0.0027259529 0.0027722399
#> V28 V29 V3 V30 V31
#> [1,] 0.0052737196 4.339749e-03 4.249358e-04 0.0037153313 0.0019107796
#> [2,] 0.0015170413 1.504494e-03 1.066787e-04 0.0013790083 0.0012924708
#> [3,] 0.0007191320 8.445708e-04 3.832245e-05 0.0008223121 0.0010336497
#> [4,] 0.0041931591 3.573232e-03 3.360711e-04 0.0031000446 0.0018266059
#> [5,] 0.0004299625 6.714772e-04 1.249311e-05 0.0006941838 0.0011020590
#> [6,] 0.0047638394 3.979469e-03 3.835753e-04 0.0034147529 0.0018569500
#> [7,] 0.0033493582 2.877661e-03 2.618711e-04 0.0025023365 0.0015567311
#> [8,] 0.0023689884 2.139417e-03 1.816132e-04 0.0018932852 0.0013852348
#> [9,] -0.0003397157 6.195105e-05 -5.784733e-05 0.0001977029 0.0009638681
#> [10,] 0.0027977450 2.480639e-03 2.174610e-04 0.0021782520 0.0014975567
#> V32 V33 V34 V35 V36
#> [1,] 0.0018189036 0.0015887619 0.0005245521 -5.954425e-04 -7.041185e-04
#> [2,] 0.0010883251 0.0009994114 0.0010339610 1.106535e-03 1.119350e-03
#> [3,] 0.0008361727 0.0008031388 0.0010044876 1.248093e-03 1.279789e-03
#> [4,] 0.0016789242 0.0014767480 0.0007774433 5.943977e-05 -1.635292e-05
#> [5,] 0.0008687172 0.0008348882 0.0011768144 1.577805e-03 1.623323e-03
#> [6,] 0.0017405886 0.0015021829 0.0006075509 -3.203884e-04 -4.039504e-04
#> [7,] 0.0014143660 0.0012574550 0.0007422697 2.178361e-04 1.704826e-04
#> [8,] 0.0012178762 0.0010871472 0.0008563026 6.420035e-04 6.253113e-04
#> [9,] 0.0007115527 0.0007389650 0.0012879014 1.906238e-03 1.975969e-03
#> [10,] 0.0013317311 0.0011776627 0.0008416311 5.156181e-04 4.890253e-04
#> V37 V38 V39 V4 V40
#> [1,] 0.0003130277 0.0013190401 0.0019606724 5.802280e-04 0.0012116905
#> [2,] 0.0010963081 0.0010054702 0.0008616829 1.073747e-04 0.0008421709
#> [3,] 0.0010781221 0.0008174707 0.0005836582 1.659856e-05 0.0006904472
#> [4,] 0.0006704549 0.0013229074 0.0016789231 4.408860e-04 0.0011630246
#> [5,] 0.0012963520 0.0008952751 0.0005434206 -2.876766e-05 0.0007344412
#> [6,] 0.0004696139 0.0013102856 0.0018134750 5.118593e-04 0.0011709260
#> [7,] 0.0006670656 0.0011264236 0.0013794463 3.395512e-04 0.0009970981
#> [8,] 0.0008635851 0.0010463491 0.0010901963 2.184250e-04 0.0008907937
#> [9,] 0.0014213987 0.0007961025 0.0003195308 -1.253405e-04 0.0006629985
#> [10,] 0.0008324281 0.0011189656 0.0012291184 2.683042e-04 0.0009582361
#> V41 V42 V43 V44 V45
#> [1,] 0.0008171177 0.0015411240 2.262779e-03 2.563811e-03 2.719872e-03
#> [2,] 0.0008196592 0.0007468115 5.465076e-04 3.873371e-04 3.584828e-04
#> [3,] 0.0007266918 0.0005179104 1.861006e-04 -2.739669e-05 -8.347148e-05
#> [4,] 0.0008910915 0.0013622386 1.769266e-03 1.902251e-03 1.996221e-03
#> [5,] 0.0008143583 0.0005065888 4.346884e-05 -2.443488e-04 -3.258057e-04
#> [6,] 0.0008359225 0.0014533275 2.039700e-03 2.269554e-03 2.395902e-03
#> [7,] 0.0007885298 0.0011168405 1.385827e-03 1.463347e-03 1.525684e-03
#> [8,] 0.0007805822 0.0009139183 9.508294e-04 9.107163e-04 9.283610e-04
#> [9,] 0.0008105598 0.0003208777 -3.316950e-04 -7.068002e-04 -8.252539e-04
#> [10,] 0.0008121170 0.0010234129 1.143880e-03 1.142802e-03 1.178261e-03
#> V46 V47 V48 V49 V5
#> [1,] 2.121508e-03 1.509342e-03 1.285497e-03 7.524333e-04 8.051964e-04
#> [2,] 2.668243e-04 2.157104e-04 1.708953e-04 9.655945e-05 1.282032e-04
#> [3,] -6.861386e-05 -2.158871e-05 -3.504109e-05 -2.348711e-05 4.603483e-06
#> [4,] 1.544709e-03 1.109486e-03 9.422280e-04 5.508212e-04 5.995756e-04
#> [5,] -2.646846e-04 -1.554333e-04 -1.505938e-04 -9.203765e-05 -6.455186e-05
#> [6,] 1.856018e-03 1.326142e-03 1.130251e-03 6.601548e-04 7.046317e-04
#> [7,] 1.183497e-03 8.551715e-04 7.221249e-04 4.210745e-04 4.618818e-04
#> [8,] 7.097061e-04 5.232890e-04 4.383660e-04 2.537084e-04 2.867444e-04
#> [9,] -6.407903e-04 -4.181378e-04 -3.821535e-04 -2.272754e-04 -1.972799e-04
#> [10,] 9.025092e-04 6.595201e-04 5.560088e-04 3.223697e-04 3.561946e-04
#> V50 V51 V52 V53 V54
#> [1,] 2.065668e-04 1.626730e-04 1.431261e-04 8.207369e-05 1.005040e-04
#> [2,] 3.654994e-05 3.904002e-05 3.106479e-05 2.217938e-05 2.566931e-05
#> [3,] 5.466382e-06 1.308486e-05 7.697133e-06 9.690438e-06 9.441000e-06
#> [4,] 1.546445e-04 1.278633e-04 1.116518e-04 6.517499e-05 7.997216e-05
#> [5,] -1.153664e-05 2.713544e-06 -2.039378e-06 4.916032e-06 3.538159e-06
#> [6,] 1.812019e-04 1.465151e-04 1.284211e-04 7.365029e-05 9.072814e-05
#> [7,] 1.200998e-04 9.961856e-05 8.606222e-05 5.127568e-05 6.219200e-05
#> [8,] 7.600704e-05 6.819417e-05 5.783953e-05 3.590331e-05 4.338069e-05
#> [9,] -4.434787e-05 -2.438030e-05 -2.697069e-05 -7.426827e-06 -1.318845e-05
#> [10,] 9.364788e-05 8.213250e-05 7.028939e-05 4.251844e-05 5.177343e-05
#> V55 V56 V57 V58 V59
#> [1,] 8.965395e-05 7.479120e-05 5.823749e-05 8.964294e-05 5.986193e-05
#> [2,] 1.640925e-05 1.489421e-05 1.042503e-05 9.825002e-06 1.380502e-05
#> [3,] 2.478929e-06 3.605072e-06 1.814781e-06 -3.959543e-06 4.923208e-06
#> [4,] 6.768225e-05 5.662478e-05 4.325208e-05 6.443438e-05 4.632469e-05
#> [5,] -4.566591e-06 -2.160492e-06 -3.009247e-06 -1.268664e-05 7.808153e-07
#> [6,] 7.902438e-05 6.598810e-05 5.103188e-05 7.756439e-05 5.293014e-05
#> [7,] 5.239595e-05 4.421245e-05 3.390995e-05 4.930438e-05 3.630795e-05
#> [8,] 3.364076e-05 2.875622e-05 2.145043e-05 2.871201e-05 2.432627e-05
#> [9,] -1.936820e-05 -1.381784e-05 -1.190608e-05 -2.809467e-05 -8.138689e-06
#> [10,] 4.132382e-05 3.505776e-05 2.634929e-05 3.666259e-05 2.914859e-05
#> V6 V60 V7 V8 V9
#> [1,] 8.541791e-04 4.036419e-05 1.200530e-03 1.548836e-03 2.425783e-03
#> [2,] 2.165901e-04 1.348063e-05 2.050139e-04 2.197567e-04 3.007337e-04
#> [3,] 8.889242e-05 7.312037e-06 2.903984e-05 -2.202793e-05 -9.778473e-05
#> [4,] 6.684126e-04 3.321007e-05 8.927924e-04 1.141700e-03 1.777828e-03
#> [5,] 3.409452e-05 5.569357e-06 -7.352875e-05 -1.603242e-04 -3.182773e-04
#> [6,] 7.633988e-04 3.677418e-05 1.047028e-03 1.357927e-03 2.137201e-03
#> [7,] 5.282436e-04 2.646061e-05 6.961321e-04 8.779725e-04 1.354317e-03
#> [8,] 3.611220e-04 1.955933e-05 4.333339e-04 5.352904e-04 8.166459e-04
#> [9,] -9.127984e-05 -2.060216e-07 -2.570320e-04 -4.273242e-04 -7.716444e-04
#> [10,] 4.306067e-04 2.267883e-05 5.348676e-04 6.728866e-04 1.040023e-03
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.03695365 -0.04985003 -0.0411815 -0.05704759 -0.05020896 -0.04404376
#> [2,] 0.03695365 0.04985003 0.0411815 0.05704759 0.05020896 0.04404376
#> [,7] [,8] [,9] [,10]
#> [1,] -0.04186972 -0.04931819 -0.04449752 -0.0508025
#> [2,] 0.04186972 0.04931819 0.04449752 0.0508025
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.08665975 0.08784820 0.08953947 0.08583783 0.08825122 0.08656825
#> [7] 0.08772786 0.08816597 0.08873672 0.08749779
#>
#> $B[[2]]
#> [1] 0.14370074 0.05629926
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 0.0062126563 0.0022829122 0.0013784400 0.0051618418 0.0011465315
#> [6] 0.0056704555 0.0041718301 0.0031335104 0.0003589198 0.0035987886
#>
#> $vB[[2]]
#> [1] -0.09089017 0.09089017
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.1371 0.2067 0.4257 0.5484 0.7131 0.7003 0.6777 0.7939 0.9382 0.8925
#> [2,] 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> [3,] 0.0179 0.5965 0.6254 0.4507 0.3693 0.2864 0.1635 0.0422 0.1785 0.4394
#> [4,] 0.0131 0.0901 0.0750 0.0844 0.1226 0.1619 0.2317 0.2934 0.3526 0.3657
#> [5,] 0.0368 0.0506 0.0906 0.2545 0.1464 0.1272 0.1223 0.1669 0.1424 0.1285
#> [6,] 0.0201 0.1097 0.0841 0.0942 0.1204 0.0420 0.0031 0.0162 0.0624 0.2127
#> [7,] 0.0210 0.0686 0.1125 0.1741 0.2710 0.3087 0.3575 0.4998 0.6011 0.6470
#> [8,] 0.0109 0.1036 0.0972 0.0501 0.1546 0.3404 0.4804 0.6570 0.7738 0.7827
#> [9,] 0.0352 0.2912 0.2328 0.2237 0.2470 0.1560 0.3491 0.3308 0.2299 0.2203
#> [10,] 0.0072 0.2318 0.2472 0.2880 0.2126 0.0708 0.1194 0.2808 0.4221 0.5279
#> [11,] 0.0195 0.1191 0.1522 0.1322 0.1434 0.1244 0.0653 0.0890 0.1226 0.1846
#> [12,] 0.0712 0.2127 0.2891 0.3985 0.4576 0.5821 0.5027 0.1930 0.2579 0.3177
#> [13,] 0.0094 0.1725 0.2228 0.3106 0.4144 0.5157 0.5369 0.5107 0.6441 0.7326
#> [14,] 0.0265 0.0779 0.0327 0.2060 0.1908 0.1065 0.1457 0.2232 0.2070 0.1105
#> [15,] 0.0176 0.0474 0.0526 0.1854 0.1040 0.0948 0.0912 0.1688 0.1568 0.0375
#> [16,] 0.0201 0.0279 0.2251 0.2615 0.1770 0.3709 0.4533 0.5553 0.4616 0.3797
#> [17,] 0.0305 0.3127 0.2192 0.2621 0.2419 0.2179 0.1159 0.1237 0.0886 0.1755
#> [18,] 0.0335 0.2660 0.3188 0.3553 0.3116 0.1965 0.1780 0.2794 0.2870 0.3969
#> [19,] 0.0209 0.3914 0.3504 0.3669 0.3943 0.3311 0.3331 0.3002 0.2324 0.1381
#> [20,] 0.0197 0.1695 0.1734 0.2470 0.3141 0.3297 0.2759 0.2056 0.1162 0.1884
#> [21,] 0.0126 0.4284 0.3015 0.1207 0.3299 0.5707 0.6962 0.9751 1.0000 0.9293
#> [22,] 0.0233 0.2078 0.1239 0.0236 0.1771 0.3115 0.4990 0.6707 0.7655 0.8485
#> [23,] 0.0311 0.0767 0.1767 0.2555 0.2812 0.2722 0.3227 0.3463 0.5395 0.7911
#> [24,] 0.0065 0.1109 0.0937 0.0827 0.0920 0.0911 0.1487 0.1666 0.1268 0.1374
#> [25,] 0.0125 0.1302 0.0888 0.0500 0.0628 0.1274 0.0801 0.0742 0.2048 0.2950
#> [26,] 0.0079 0.1240 0.1097 0.1215 0.1874 0.3383 0.3227 0.2723 0.3943 0.6432
#> [27,] 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> [28,] 0.0015 0.1476 0.2118 0.2575 0.2354 0.1334 0.0092 0.1951 0.3685 0.4646
#> [29,] 0.0067 0.1180 0.0978 0.0909 0.0656 0.0593 0.0832 0.1297 0.2038 0.3811
#> [30,] 0.0209 0.1853 0.1748 0.1556 0.1476 0.1378 0.2584 0.3827 0.4784 0.5360
#> [31,] 0.0209 0.4125 0.3943 0.1334 0.4622 0.9970 0.9137 0.8292 0.6994 0.7825
#> [32,] 0.0158 0.1923 0.2361 0.2719 0.3049 0.2986 0.2226 0.1745 0.2459 0.3100
#> [33,] 0.0664 0.1838 0.2869 0.4129 0.3647 0.1984 0.2840 0.4039 0.5837 0.6792
#> [34,] 0.0635 0.3900 0.4674 0.5632 0.5506 0.4343 0.3052 0.3492 0.3975 0.3875
#> [35,] 0.0453 0.2872 0.4918 0.6552 0.6919 0.7797 0.7464 0.9444 1.0000 0.8874
#> [36,] 0.0131 0.3193 0.3468 0.3738 0.3055 0.1926 0.1385 0.2122 0.2758 0.4576
#> [37,] 0.0378 0.2053 0.3135 0.3118 0.3686 0.3885 0.5850 0.7868 0.9739 1.0000
#> [38,] 0.0522 0.2529 0.2716 0.2374 0.1878 0.0983 0.0683 0.1503 0.1723 0.2339
#> [39,] 0.0654 0.3422 0.2128 0.1377 0.4032 0.5684 0.2398 0.4331 0.5954 0.5772
#> [40,] 0.0189 0.2522 0.2607 0.3710 0.3906 0.2672 0.2716 0.4183 0.6988 0.5733
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.9146 0.1226 0.7832 0.7960 0.7983 0.7716 0.6615 0.4860 0.5572 0.4697
#> [2,] 0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> [3,] 0.6950 0.0136 0.8097 0.8550 0.8717 0.8601 0.9201 0.8729 0.8084 0.8694
#> [4,] 0.3221 0.0068 0.3093 0.4084 0.4285 0.4663 0.5956 0.6948 0.8386 0.8875
#> [5,] 0.1857 0.0403 0.1136 0.2069 0.0219 0.2400 0.2547 0.0240 0.1923 0.4753
#> [6,] 0.3436 0.0026 0.3813 0.3825 0.4764 0.6313 0.7523 0.8675 0.8788 0.7901
#> [7,] 0.8067 0.0121 0.9008 0.8906 0.9338 1.0000 0.9102 0.8496 0.7867 0.7688
#> [8,] 0.8152 0.0093 0.8129 0.8297 0.8535 0.8870 0.8894 0.8980 0.9667 1.0000
#> [9,] 0.2493 0.0116 0.4128 0.3158 0.6191 0.5854 0.3395 0.2561 0.5599 0.8145
#> [10,] 0.5857 0.0027 0.6153 0.6753 0.7873 0.8974 0.9828 1.0000 0.8460 0.6055
#> [11,] 0.3880 0.0142 0.3658 0.2297 0.2610 0.4193 0.5848 0.5643 0.5448 0.4772
#> [12,] 0.2745 0.0901 0.6186 0.8958 0.7442 0.5188 0.2811 0.1773 0.6607 0.7576
#> [13,] 0.8164 0.0333 0.8856 0.9891 1.0000 0.8750 0.8631 0.9074 0.8674 0.7750
#> [14,] 0.1078 0.0440 0.1165 0.2224 0.0689 0.2060 0.2384 0.0904 0.2278 0.5872
#> [15,] 0.1316 0.0172 0.2086 0.1976 0.0946 0.1965 0.1242 0.0616 0.2141 0.4642
#> [16,] 0.3450 0.0423 0.2665 0.2395 0.1127 0.2556 0.5169 0.3779 0.4082 0.5353
#> [17,] 0.1758 0.0363 0.1540 0.0512 0.1805 0.4039 0.5697 0.6577 0.7474 0.8543
#> [18,] 0.5599 0.0258 0.6936 0.7969 0.7452 0.8203 0.9261 0.8810 0.8814 0.9301
#> [19,] 0.3450 0.0191 0.4428 0.4890 0.3677 0.4379 0.4864 0.6207 0.7256 0.6624
#> [20,] 0.3390 0.0394 0.3926 0.4282 0.5418 0.6448 0.7223 0.7853 0.7984 0.8847
#> [21,] 0.6210 0.0519 0.4586 0.5001 0.5032 0.7082 0.8420 0.8109 0.7690 0.8105
#> [22,] 0.9805 0.0394 1.0000 1.0000 0.9992 0.9067 0.6803 0.5103 0.4716 0.4980
#> [23,] 0.9064 0.0491 0.8701 0.7672 0.2957 0.4148 0.6043 0.3178 0.3482 0.6158
#> [24,] 0.1095 0.0122 0.1286 0.2146 0.2889 0.4238 0.6168 0.8167 0.9622 0.8280
#> [25,] 0.3193 0.0152 0.4567 0.5959 0.7101 0.8225 0.8425 0.9065 0.9802 1.0000
#> [26,] 0.7271 0.0086 0.8673 0.9674 0.9847 0.9480 0.8036 0.6833 0.5136 0.3090
#> [27,] 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> [28,] 0.5418 0.0186 0.6260 0.7420 0.8257 0.8609 0.8400 0.8949 0.9945 1.0000
#> [29,] 0.4451 0.0096 0.5224 0.5911 0.6566 0.6308 0.5998 0.4958 0.5647 0.6906
#> [30,] 0.6192 0.0278 0.7912 0.9264 1.0000 0.9080 0.7435 0.5557 0.3172 0.1295
#> [31,] 0.8789 0.0261 0.8501 0.8920 0.9473 1.0000 0.8975 0.7806 0.8321 0.6502
#> [32,] 0.3572 0.0239 0.4283 0.4268 0.3735 0.4585 0.6094 0.7221 0.7595 0.8706
#> [33,] 0.6086 0.0575 0.4858 0.3246 0.2013 0.2082 0.1686 0.2484 0.2736 0.2984
#> [34,] 0.5280 0.0709 0.7198 0.7702 0.8562 0.8688 0.9236 1.0000 0.9662 0.9822
#> [35,] 0.8024 0.0523 0.7818 0.5212 0.4052 0.3957 0.3914 0.3250 0.3200 0.3271
#> [36,] 0.6487 0.0387 0.7154 0.8010 0.7924 0.8793 1.0000 0.9865 0.9474 0.9474
#> [37,] 0.9843 0.0318 0.8610 0.8443 0.9061 0.5847 0.4033 0.5946 0.6793 0.6389
#> [38,] 0.1962 0.0437 0.1395 0.3164 0.5888 0.7631 0.8473 0.9424 0.9986 0.9699
#> [39,] 0.8176 0.0649 0.8835 0.5248 0.6373 0.8375 0.6699 0.7756 0.8750 0.8300
#> [40,] 0.2226 0.0308 0.2631 0.7473 0.7263 0.3393 0.2824 0.6053 0.5897 0.4967
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.5640 0.4517 0.1385 0.3369 0.2684 0.2339 0.3052 0.3016 0.2753 0.1041
#> [2,] 0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> [3,] 0.8411 0.5793 0.0408 0.3754 0.3485 0.4639 0.6495 0.6901 0.5666 0.5188
#> [4,] 0.6404 0.3308 0.0308 0.3425 0.4920 0.4592 0.3034 0.4366 0.5175 0.5122
#> [5,] 0.7003 0.6825 0.0317 0.6443 0.7063 0.5373 0.6601 0.8708 0.9518 0.9605
#> [6,] 0.8357 0.9631 0.0138 0.9619 0.9236 0.8903 0.9708 0.9647 0.7892 0.5307
#> [7,] 0.7718 0.6268 0.0203 0.4301 0.2077 0.1198 0.1660 0.2618 0.3862 0.3958
#> [8,] 0.9134 0.6762 0.0121 0.4659 0.2895 0.2959 0.1746 0.2112 0.2569 0.2276
#> [9,] 0.6941 0.6985 0.0191 0.8660 0.5930 0.3664 0.6750 0.8697 0.7837 0.7552
#> [10,] 0.3036 0.0144 0.0089 0.2526 0.4335 0.4918 0.5409 0.5961 0.5248 0.3777
#> [11,] 0.6897 0.9797 0.0181 1.0000 0.9546 0.8835 0.7662 0.6547 0.5447 0.4593
#> [12,] 0.5122 0.4701 0.1276 0.5479 0.4347 0.1276 0.0846 0.0927 0.0313 0.0998
#> [13,] 0.6600 0.5615 0.0306 0.4016 0.2331 0.1164 0.1095 0.0431 0.0619 0.1956
#> [14,] 0.8457 0.8467 0.0137 0.7679 0.8055 0.6260 0.6545 0.8747 0.9885 0.9348
#> [15,] 0.6471 0.6340 0.0501 0.6107 0.7046 0.5376 0.5934 0.8443 0.9481 0.9705
#> [16,] 0.5116 0.4544 0.0554 0.4258 0.3869 0.3939 0.4661 0.3974 0.2194 0.1816
#> [17,] 0.9085 0.8668 0.0214 0.8892 0.9065 0.8522 0.7204 0.6200 0.6253 0.6848
#> [18,] 0.9955 0.8576 0.0398 0.6069 0.3934 0.2464 0.1645 0.1140 0.0956 0.0080
#> [19,] 0.7689 0.7981 0.0411 0.8577 0.9273 0.7009 0.4851 0.3409 0.1406 0.1147
#> [20,] 0.9582 0.8990 0.0384 0.6831 0.6108 0.5480 0.5058 0.4476 0.2401 0.1405
#> [21,] 0.6203 0.2356 0.0621 0.2595 0.6299 0.6762 0.2903 0.4393 0.8529 0.7180
#> [22,] 0.6196 0.7171 0.0416 0.6316 0.3554 0.2897 0.4316 0.3791 0.2421 0.0944
#> [23,] 0.8049 0.6289 0.0692 0.4999 0.5830 0.6660 0.4124 0.1260 0.2487 0.4676
#> [24,] 0.5816 0.4667 0.0068 0.3539 0.2727 0.1410 0.1863 0.2176 0.2360 0.1725
#> [25,] 0.8752 0.7583 0.0218 0.6616 0.5786 0.5128 0.4776 0.4994 0.5197 0.5071
#> [26,] 0.0832 0.4019 0.0055 0.2344 0.1905 0.1235 0.1717 0.2351 0.2489 0.3649
#> [27,] 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> [28,] 0.9649 0.8747 0.0289 0.6257 0.2184 0.2945 0.3645 0.5012 0.7843 0.9361
#> [29,] 0.8513 1.0000 0.0024 0.9166 0.7676 0.6177 0.5468 0.5516 0.5463 0.5515
#> [30,] 0.0598 0.2722 0.0115 0.3616 0.3293 0.4855 0.3936 0.1845 0.0342 0.2489
#> [31,] 0.4548 0.4732 0.0120 0.3391 0.2747 0.0978 0.0477 0.1403 0.1834 0.2148
#> [32,] 1.0000 0.9815 0.0150 0.7187 0.5848 0.4192 0.3756 0.3263 0.1944 0.1394
#> [33,] 0.4655 0.6990 0.0842 0.7474 0.7956 0.7981 0.6715 0.6942 0.7440 0.8169
#> [34,] 0.7360 0.4158 0.0453 0.2918 0.3280 0.3690 0.3450 0.2863 0.0864 0.3724
#> [35,] 0.2767 0.4423 0.0843 0.2028 0.3788 0.2947 0.1984 0.2341 0.1306 0.4182
#> [36,] 0.9315 0.8326 0.0329 0.6213 0.3772 0.2822 0.2042 0.2190 0.2223 0.1327
#> [37,] 0.5002 0.5578 0.0423 0.4831 0.4729 0.3318 0.3969 0.3894 0.2314 0.1036
#> [38,] 1.0000 0.8630 0.0180 0.6979 0.7717 0.7305 0.5197 0.1786 0.1098 0.1446
#> [39,] 0.6896 0.3372 0.0737 0.6405 0.7138 0.8202 0.6657 0.5254 0.2960 0.0704
#> [40,] 0.8616 0.8339 0.0197 0.4084 0.2268 0.1745 0.0507 0.1588 0.3040 0.1369
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.1757 0.3156 0.3603 0.1484 0.2736 0.1301 0.2458 0.3404 0.1753 0.0679
#> [2,] 0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> [3,] 0.5060 0.3885 0.3762 0.0633 0.3738 0.2605 0.1591 0.1875 0.2267 0.1577
#> [4,] 0.4746 0.4902 0.4603 0.0311 0.4460 0.4196 0.2873 0.2296 0.0949 0.0095
#> [5,] 0.7712 0.6772 0.6431 0.0293 0.6720 0.6035 0.5155 0.3802 0.2278 0.1522
#> [6,] 0.2718 0.1953 0.1374 0.0062 0.3105 0.3790 0.4105 0.3355 0.2998 0.2748
#> [7,] 0.3248 0.2302 0.3250 0.1036 0.4022 0.4344 0.4008 0.3370 0.2518 0.2101
#> [8,] 0.2149 0.1601 0.0371 0.0378 0.0117 0.0488 0.0288 0.0597 0.0431 0.0369
#> [9,] 0.5789 0.4713 0.1252 0.0469 0.6087 0.7322 0.5977 0.3431 0.1803 0.2378
#> [10,] 0.2369 0.1720 0.1878 0.0061 0.3250 0.2575 0.2423 0.2706 0.2323 0.1724
#> [11,] 0.4679 0.1987 0.0699 0.0406 0.1493 0.1713 0.1654 0.2600 0.3846 0.3754
#> [12,] 0.1781 0.1586 0.3001 0.1497 0.2208 0.1455 0.2895 0.3203 0.1414 0.0629
#> [13,] 0.2120 0.3242 0.4102 0.0376 0.2939 0.1911 0.1702 0.1010 0.1512 0.1427
#> [14,] 0.6960 0.5733 0.5872 0.0084 0.6663 0.5651 0.5247 0.3684 0.1997 0.1512
#> [15,] 0.7766 0.6313 0.5760 0.0285 0.6148 0.5450 0.4813 0.3406 0.1916 0.1134
#> [16,] 0.1023 0.2108 0.3253 0.0783 0.3697 0.2912 0.3010 0.2563 0.1927 0.2062
#> [17,] 0.7337 0.6281 0.5725 0.0227 0.6119 0.5597 0.4965 0.5027 0.5772 0.5907
#> [18,] 0.0702 0.0936 0.0894 0.0570 0.1127 0.0873 0.1020 0.1964 0.2256 0.1814
#> [19,] 0.1433 0.1820 0.3605 0.0321 0.5529 0.5988 0.5077 0.5512 0.5027 0.7034
#> [20,] 0.1772 0.1742 0.3326 0.0076 0.4021 0.3009 0.2075 0.1206 0.0255 0.0298
#> [21,] 0.4801 0.5856 0.4993 0.0518 0.2866 0.0601 0.1167 0.2737 0.2812 0.2078
#> [22,] 0.0351 0.0844 0.0436 0.0547 0.1130 0.2045 0.1937 0.0834 0.1502 0.1675
#> [23,] 0.5382 0.3150 0.2139 0.0831 0.1848 0.1679 0.2328 0.1015 0.0713 0.0615
#> [24,] 0.0589 0.0621 0.1847 0.0108 0.2452 0.2984 0.3041 0.2275 0.1480 0.1102
#> [25,] 0.4577 0.3505 0.1845 0.0175 0.1890 0.1967 0.1041 0.0550 0.0492 0.0622
#> [26,] 0.3382 0.1589 0.0989 0.0250 0.1089 0.1043 0.0839 0.1391 0.0819 0.0678
#> [27,] 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> [28,] 0.8195 0.6207 0.4513 0.0195 0.3004 0.2674 0.2241 0.3141 0.3693 0.2986
#> [29,] 0.4561 0.3466 0.3384 0.0058 0.2853 0.2502 0.1641 0.1605 0.1491 0.1326
#> [30,] 0.3837 0.3514 0.2654 0.0445 0.1760 0.1599 0.0866 0.0590 0.0813 0.0492
#> [31,] 0.1271 0.1912 0.3391 0.0768 0.3444 0.2369 0.1195 0.2665 0.2587 0.1393
#> [32,] 0.1670 0.1275 0.1666 0.0494 0.2574 0.2258 0.2777 0.1613 0.1335 0.1976
#> [33,] 0.8912 1.0000 0.8753 0.0372 0.7061 0.6803 0.5898 0.4618 0.3639 0.1492
#> [34,] 0.4649 0.3488 0.1817 0.0333 0.1142 0.1220 0.2621 0.4461 0.4726 0.3263
#> [35,] 0.3835 0.1057 0.1840 0.0689 0.1970 0.1674 0.0583 0.1401 0.1628 0.0621
#> [36,] 0.0521 0.0618 0.1416 0.0078 0.1460 0.0846 0.1055 0.1639 0.1916 0.2085
#> [37,] 0.1312 0.0864 0.2569 0.0350 0.3179 0.2649 0.2714 0.1713 0.0584 0.1230
#> [38,] 0.1066 0.1440 0.1929 0.0292 0.0325 0.1490 0.0328 0.0537 0.1309 0.0910
#> [39,] 0.0970 0.3941 0.6028 0.1132 0.3521 0.3924 0.4808 0.4602 0.4164 0.5438
#> [40,] 0.1605 0.2061 0.0734 0.0622 0.0202 0.1638 0.1583 0.1830 0.1886 0.1008
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.1062 0.0643 0.0532 0.0531 0.1776 0.0272 0.0171 0.0118 0.0129 0.0344
#> [2,] 0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> [3,] 0.1211 0.0883 0.0850 0.0355 0.0596 0.0219 0.0086 0.0123 0.0060 0.0187
#> [4,] 0.0527 0.0383 0.0107 0.0108 0.0085 0.0077 0.0109 0.0062 0.0028 0.0040
#> [5,] 0.0801 0.0804 0.0752 0.0566 0.0820 0.0175 0.0058 0.0091 0.0160 0.0160
#> [6,] 0.2024 0.1043 0.0453 0.0337 0.0133 0.0122 0.0072 0.0108 0.0070 0.0063
#> [7,] 0.1181 0.1150 0.0550 0.0293 0.1675 0.0183 0.0104 0.0117 0.0101 0.0061
#> [8,] 0.0025 0.0327 0.0257 0.0182 0.0679 0.0108 0.0124 0.0077 0.0023 0.0117
#> [9,] 0.3424 0.2303 0.0689 0.0216 0.0737 0.0469 0.0426 0.0346 0.0158 0.0154
#> [10,] 0.1457 0.1175 0.0868 0.0392 0.0420 0.0131 0.0092 0.0078 0.0071 0.0081
#> [11,] 0.2414 0.1077 0.0224 0.0155 0.0391 0.0187 0.0125 0.0028 0.0067 0.0120
#> [12,] 0.0734 0.0805 0.0608 0.0565 0.1284 0.0286 0.0154 0.0154 0.0156 0.0054
#> [13,] 0.1097 0.1173 0.0972 0.0703 0.1296 0.0281 0.0216 0.0153 0.0112 0.0241
#> [14,] 0.0508 0.0931 0.0982 0.0524 0.0305 0.0188 0.0100 0.0038 0.0187 0.0156
#> [15,] 0.0640 0.0911 0.0980 0.0563 0.0262 0.0187 0.0088 0.0042 0.0175 0.0171
#> [16,] 0.1751 0.0841 0.1035 0.0641 0.0620 0.0153 0.0081 0.0191 0.0182 0.0160
#> [17,] 0.4803 0.3877 0.2779 0.1427 0.0456 0.0424 0.0271 0.0200 0.0070 0.0070
#> [18,] 0.2012 0.1688 0.1037 0.0501 0.0529 0.0136 0.0130 0.0120 0.0039 0.0053
#> [19,] 0.5904 0.4069 0.2761 0.1584 0.0698 0.0510 0.0054 0.0078 0.0201 0.0104
#> [20,] 0.0691 0.0781 0.0777 0.0369 0.0251 0.0057 0.0091 0.0134 0.0097 0.0042
#> [21,] 0.0660 0.0491 0.0345 0.0172 0.1072 0.0287 0.0027 0.0208 0.0048 0.0199
#> [22,] 0.1058 0.1111 0.0849 0.0596 0.0993 0.0201 0.0071 0.0104 0.0062 0.0026
#> [23,] 0.0779 0.0761 0.0845 0.0592 0.0079 0.0068 0.0089 0.0087 0.0032 0.0130
#> [24,] 0.1178 0.0608 0.0333 0.0276 0.0217 0.0100 0.0023 0.0069 0.0025 0.0027
#> [25,] 0.0505 0.0247 0.0219 0.0102 0.0362 0.0047 0.0019 0.0041 0.0074 0.0030
#> [26,] 0.0663 0.1202 0.0692 0.0152 0.0344 0.0266 0.0174 0.0176 0.0127 0.0088
#> [27,] 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> [28,] 0.2226 0.0849 0.0359 0.0289 0.0515 0.0122 0.0045 0.0108 0.0075 0.0089
#> [29,] 0.0687 0.0602 0.0561 0.0306 0.0197 0.0154 0.0029 0.0048 0.0023 0.0020
#> [30,] 0.0417 0.0495 0.0367 0.0115 0.0427 0.0118 0.0133 0.0096 0.0014 0.0049
#> [31,] 0.1083 0.1383 0.1321 0.1069 0.1064 0.0325 0.0316 0.0057 0.0159 0.0085
#> [32,] 0.1234 0.1554 0.1057 0.0490 0.0988 0.0097 0.0223 0.0121 0.0108 0.0057
#> [33,] 0.1216 0.1306 0.1198 0.0578 0.0458 0.0235 0.0135 0.0141 0.0190 0.0043
#> [34,] 0.1423 0.0390 0.0406 0.0311 0.0185 0.0086 0.0154 0.0048 0.0025 0.0087
#> [35,] 0.0203 0.0530 0.0742 0.0409 0.1183 0.0061 0.0125 0.0084 0.0089 0.0048
#> [36,] 0.2335 0.1964 0.1300 0.0633 0.0721 0.0183 0.0137 0.0150 0.0076 0.0032
#> [37,] 0.2200 0.2198 0.1074 0.0423 0.1787 0.0162 0.0093 0.0046 0.0044 0.0078
#> [38,] 0.0757 0.1059 0.1005 0.0535 0.0351 0.0235 0.0155 0.0160 0.0029 0.0051
#> [39,] 0.5649 0.3195 0.2484 0.1299 0.2482 0.0825 0.0243 0.0210 0.0361 0.0239
#> [40,] 0.0663 0.0183 0.0404 0.0108 0.0080 0.0143 0.0091 0.0038 0.0096 0.0142
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0065 0.0067 0.0022 0.0079 0.0146 0.1428 0.0051 0.1773 0.2161 0.1630
#> [2,] 0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> [3,] 0.0111 0.0126 0.0081 0.0155 0.0160 0.0808 0.0085 0.2090 0.3465 0.5276
#> [4,] 0.0075 0.0039 0.0053 0.0013 0.0052 0.0767 0.0023 0.0771 0.0640 0.0726
#> [5,] 0.0081 0.0070 0.0135 0.0067 0.0078 0.1342 0.0068 0.1161 0.0663 0.0155
#> [6,] 0.0030 0.0011 0.0007 0.0024 0.0057 0.0151 0.0044 0.0541 0.0210 0.0505
#> [7,] 0.0031 0.0099 0.0080 0.0107 0.0161 0.0418 0.0133 0.0723 0.0828 0.0494
#> [8,] 0.0053 0.0077 0.0076 0.0056 0.0055 0.0863 0.0039 0.1004 0.0664 0.0941
#> [9,] 0.0109 0.0048 0.0095 0.0015 0.0073 0.1185 0.0067 0.1683 0.1541 0.1466
#> [10,] 0.0034 0.0064 0.0037 0.0036 0.0012 0.0865 0.0037 0.1182 0.0999 0.1976
#> [11,] 0.0012 0.0022 0.0058 0.0042 0.0067 0.0249 0.0012 0.0892 0.0973 0.0840
#> [12,] 0.0030 0.0048 0.0087 0.0101 0.0095 0.1165 0.0068 0.1285 0.1684 0.1830
#> [13,] 0.0164 0.0055 0.0078 0.0055 0.0091 0.1795 0.0067 0.1909 0.1692 0.1870
#> [14,] 0.0068 0.0097 0.0073 0.0081 0.0086 0.0438 0.0095 0.0341 0.0780 0.0844
#> [15,] 0.0079 0.0050 0.0112 0.0179 0.0294 0.0351 0.0063 0.0362 0.0535 0.0258
#> [16,] 0.0290 0.0090 0.0242 0.0224 0.0190 0.0871 0.0096 0.1201 0.2707 0.1206
#> [17,] 0.0086 0.0089 0.0074 0.0042 0.0055 0.0665 0.0021 0.0939 0.0972 0.2535
#> [18,] 0.0062 0.0046 0.0045 0.0022 0.0005 0.1091 0.0031 0.1709 0.1684 0.1865
#> [19,] 0.0039 0.0031 0.0062 0.0087 0.0070 0.1579 0.0042 0.1438 0.1402 0.3048
#> [20,] 0.0058 0.0072 0.0041 0.0045 0.0047 0.0629 0.0054 0.0747 0.0578 0.1357
#> [21,] 0.0126 0.0022 0.0037 0.0034 0.0114 0.2587 0.0077 0.2304 0.2067 0.3416
#> [22,] 0.0025 0.0061 0.0038 0.0101 0.0078 0.1515 0.0006 0.1674 0.1513 0.1723
#> [23,] 0.0188 0.0101 0.0229 0.0182 0.0046 0.0200 0.0038 0.0981 0.1016 0.2025
#> [24,] 0.0052 0.0036 0.0026 0.0036 0.0006 0.0284 0.0035 0.0527 0.0575 0.1054
#> [25,] 0.0050 0.0048 0.0017 0.0041 0.0086 0.0696 0.0058 0.0873 0.0616 0.1252
#> [26,] 0.0098 0.0019 0.0059 0.0058 0.0059 0.0546 0.0032 0.0528 0.0958 0.1009
#> [27,] 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> [28,] 0.0036 0.0029 0.0013 0.0010 0.0032 0.0817 0.0047 0.1005 0.0124 0.1168
#> [29,] 0.0040 0.0019 0.0034 0.0034 0.0051 0.0618 0.0031 0.0432 0.0951 0.0836
#> [30,] 0.0039 0.0029 0.0078 0.0047 0.0021 0.0766 0.0011 0.1458 0.1430 0.1894
#> [31,] 0.0372 0.0101 0.0127 0.0288 0.0129 0.1680 0.0023 0.3016 0.3460 0.3314
#> [32,] 0.0028 0.0079 0.0034 0.0046 0.0022 0.1425 0.0021 0.1463 0.1219 0.1697
#> [33,] 0.0036 0.0026 0.0024 0.0162 0.0109 0.0771 0.0079 0.0771 0.1130 0.2353
#> [34,] 0.0072 0.0095 0.0086 0.0085 0.0040 0.1260 0.0051 0.1015 0.1918 0.3362
#> [35,] 0.0094 0.0191 0.0140 0.0049 0.0052 0.2583 0.0044 0.2156 0.3481 0.3337
#> [36,] 0.0037 0.0071 0.0040 0.0009 0.0015 0.1341 0.0085 0.1626 0.1902 0.2610
#> [37,] 0.0102 0.0065 0.0061 0.0062 0.0043 0.1635 0.0053 0.0887 0.0817 0.1779
#> [38,] 0.0062 0.0089 0.0140 0.0138 0.0077 0.1171 0.0031 0.1257 0.1178 0.1258
#> [39,] 0.0447 0.0394 0.0355 0.0440 0.0243 0.1257 0.0098 0.1797 0.0989 0.2460
#> [40,] 0.0190 0.0140 0.0099 0.0092 0.0052 0.0789 0.0075 0.1440 0.1451 0.1789
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.4723692 0.5006090 0.4460910 0.5586436 0.5422881 0.5329198 0.4652215
#> [2,] 0.4638085 0.5296504 0.4619722 0.5850966 0.5231717 0.4776128 0.4851499
#> [3,] 0.4590094 0.5238147 0.4375032 0.6218665 0.5153976 0.4784983 0.4654474
#> [4,] 0.4831758 0.5231908 0.4525064 0.5846807 0.5089517 0.4905509 0.4795925
#> [5,] 0.5214074 0.5323017 0.4765353 0.5693503 0.5097782 0.5136163 0.4749318
#> [6,] 0.4695492 0.5153754 0.4373431 0.6225113 0.4976945 0.4680434 0.4480059
#> [7,] 0.4543557 0.5162462 0.4478806 0.5904372 0.5310316 0.4724035 0.4780646
#> [8,] 0.4468410 0.5079420 0.4222710 0.5813136 0.5289701 0.4821665 0.4960651
#> [9,] 0.4936774 0.5548737 0.4766663 0.6079757 0.5331436 0.5146183 0.4639070
#> [10,] 0.4794968 0.4896191 0.4535732 0.6044527 0.5068477 0.4936098 0.4684987
#> [11,] 0.4818890 0.5170245 0.4605746 0.5978626 0.5056423 0.4948945 0.4721026
#> [12,] 0.4654455 0.5475878 0.4759766 0.5672803 0.5355326 0.5114233 0.4660009
#> [13,] 0.4436694 0.5118024 0.4513961 0.5730367 0.5304358 0.4884457 0.4828861
#> [14,] 0.5104888 0.5356939 0.4616106 0.5764863 0.5105074 0.5101372 0.4709035
#> [15,] 0.5180730 0.5415748 0.4752116 0.5688665 0.5048131 0.5169194 0.4770085
#> [16,] 0.4921461 0.5135941 0.4630097 0.5603855 0.5372686 0.5133272 0.4689709
#> [17,] 0.4674322 0.5600265 0.4675737 0.6119324 0.5163336 0.5034952 0.4649372
#> [18,] 0.4397841 0.5274690 0.4441304 0.5942520 0.5305447 0.4642246 0.4832012
#> [19,] 0.4509105 0.5486036 0.4789503 0.5976005 0.5411602 0.5005123 0.4367454
#> [20,] 0.4568981 0.5313544 0.4415322 0.5987522 0.5241805 0.4763025 0.4610003
#> [21,] 0.4779782 0.4899708 0.4267217 0.5914516 0.5097062 0.5430166 0.4813423
#> [22,] 0.4603155 0.4975021 0.4467474 0.5700570 0.5413856 0.4926228 0.4814551
#> [23,] 0.4814137 0.5056777 0.4436807 0.5529544 0.5265357 0.5006014 0.4913302
#> [24,] 0.4696831 0.5322806 0.4657833 0.5881094 0.5223751 0.4784823 0.4838726
#> [25,] 0.4596715 0.5231326 0.4358108 0.6098464 0.5026069 0.4682645 0.4876955
#> [26,] 0.4674935 0.4983260 0.4682829 0.5690041 0.5152054 0.4998469 0.5124551
#> [27,] 0.4712334 0.5285826 0.4553457 0.5900224 0.5327005 0.5253669 0.4740770
#> [28,] 0.4542590 0.5359404 0.4469919 0.6010121 0.4950003 0.4781923 0.4978006
#> [29,] 0.4664325 0.5230647 0.4504289 0.5877116 0.5098072 0.4781561 0.4857707
#> [30,] 0.4762058 0.4942187 0.4717117 0.5630111 0.5169425 0.5061707 0.5000142
#> [31,] 0.4407698 0.5133200 0.4512217 0.5866019 0.5472144 0.5167125 0.4747055
#> [32,] 0.4576881 0.5287524 0.4452878 0.5892229 0.5313362 0.4773981 0.4721178
#> [33,] 0.4918622 0.5250621 0.4611034 0.5473052 0.5131860 0.5337419 0.4688030
#> [34,] 0.4531664 0.5391409 0.4502569 0.6100334 0.5179483 0.4942674 0.4686662
#> [35,] 0.4929095 0.4955520 0.4594921 0.5347120 0.5401576 0.5665622 0.4825768
#> [36,] 0.4353681 0.5198614 0.4441822 0.6030012 0.5229614 0.4665972 0.4836356
#> [37,] 0.4645724 0.4949662 0.4440627 0.5565813 0.5478283 0.5268584 0.4618887
#> [38,] 0.4440362 0.5294790 0.4427880 0.6037312 0.5189623 0.4769902 0.4832080
#> [39,] 0.4576718 0.5266277 0.4592916 0.6148365 0.5209107 0.4964405 0.4271524
#> [40,] 0.4555366 0.5179656 0.4422540 0.5471838 0.5325142 0.5116856 0.4922303
#> [,8] [,9] [,10]
#> [1,] 0.4921701 0.5160698 0.5483103
#> [2,] 0.5128032 0.5082900 0.5027160
#> [3,] 0.5145981 0.4821652 0.4959069
#> [4,] 0.4961391 0.5025367 0.5108991
#> [5,] 0.4869397 0.4877496 0.4817842
#> [6,] 0.5084605 0.5084095 0.4790746
#> [7,] 0.4966637 0.5021712 0.5367130
#> [8,] 0.4853357 0.5041848 0.5354157
#> [9,] 0.4999588 0.5013169 0.5025216
#> [10,] 0.5162567 0.5198692 0.5191914
#> [11,] 0.4920831 0.5061728 0.4964232
#> [12,] 0.5325652 0.4912259 0.5492152
#> [13,] 0.4911796 0.5056781 0.5413908
#> [14,] 0.4865632 0.4848471 0.4745505
#> [15,] 0.4926719 0.4899912 0.4876995
#> [16,] 0.4934982 0.5089208 0.5104237
#> [17,] 0.4836738 0.4964433 0.4840463
#> [18,] 0.5158118 0.4910487 0.5157427
#> [19,] 0.4989858 0.5122572 0.5112217
#> [20,] 0.5113214 0.5021912 0.4804901
#> [21,] 0.4469415 0.5067223 0.5255585
#> [22,] 0.4797127 0.5201818 0.5432841
#> [23,] 0.4881615 0.5127097 0.5260364
#> [24,] 0.5168671 0.5063166 0.5059893
#> [25,] 0.5056660 0.4880966 0.4952442
#> [26,] 0.5046284 0.5185181 0.5415496
#> [27,] 0.4827084 0.4922988 0.5250768
#> [28,] 0.4926352 0.4723650 0.5122526
#> [29,] 0.4955792 0.4907916 0.4998434
#> [30,] 0.4971031 0.5245952 0.5373030
#> [31,] 0.4698210 0.5099349 0.5499060
#> [32,] 0.5043003 0.4963476 0.4947310
#> [33,] 0.4622279 0.5249178 0.5114962
#> [34,] 0.5216085 0.4911175 0.5263227
#> [35,] 0.4672752 0.5164824 0.5372033
#> [36,] 0.5165982 0.4935813 0.5090500
#> [37,] 0.4818563 0.5259576 0.5547219
#> [38,] 0.5107924 0.4926843 0.4873660
#> [39,] 0.4986919 0.5325811 0.5381529
#> [40,] 0.4879188 0.4805837 0.5244171
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.4386431 0.5613569
#> [2,] 0.4398902 0.5601098
#> [3,] 0.4384508 0.5615492
#> [4,] 0.4382637 0.5617363
#> [5,] 0.4367003 0.5632997
#> [6,] 0.4391415 0.5608585
#> [7,] 0.4399683 0.5600317
#> [8,] 0.4396288 0.5603712
#> [9,] 0.4376255 0.5623745
#> [10,] 0.4380475 0.5619525
#> [11,] 0.4382232 0.5617768
#> [12,] 0.4390085 0.5609915
#> [13,] 0.4403173 0.5596827
#> [14,] 0.4370204 0.5629796
#> [15,] 0.4366192 0.5633808
#> [16,] 0.4386999 0.5613001
#> [17,] 0.4387273 0.5612727
#> [18,] 0.4404743 0.5595257
#> [19,] 0.4409282 0.5590718
#> [20,] 0.4401771 0.5598229
#> [21,] 0.4363526 0.5636474
#> [22,] 0.4400669 0.5599331
#> [23,] 0.4388738 0.5611262
#> [24,] 0.4395054 0.5604946
#> [25,] 0.4386170 0.5613830
#> [26,] 0.4386197 0.5613803
#> [27,] 0.4377472 0.5622528
#> [28,] 0.4381363 0.5618637
#> [29,] 0.4389789 0.5610211
#> [30,] 0.4387102 0.5612898
#> [31,] 0.4397610 0.5602390
#> [32,] 0.4400628 0.5599372
#> [33,] 0.4385553 0.5614447
#> [34,] 0.4385787 0.5614213
#> [35,] 0.4373316 0.5626684
#> [36,] 0.4402971 0.5597029
#> [37,] 0.4395611 0.5604389
#> [38,] 0.4397714 0.5602286
#> [39,] 0.4400750 0.5599250
#> [40,] 0.4390849 0.5609151
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.11063602 0.002435807 -0.21647725 0.2356591 0.169557568 0.1318701546
#> [2,] -0.14501946 0.118740883 -0.15240546 0.3437313 0.092753349 -0.0896085867
#> [3,] -0.16433108 0.095330795 -0.25130138 0.4974782 0.061610067 -0.0860600364
#> [4,] -0.06732234 0.092829995 -0.19054878 0.3420182 0.035810801 -0.0378009777
#> [5,] 0.08568190 0.129387191 -0.09392766 0.2792009 0.039117831 0.0544785119
#> [6,] -0.12195411 0.061521062 -0.25195201 0.5002212 -0.009222055 -0.1280010154
#> [7,] -0.18308697 0.065007495 -0.20923749 0.3657731 0.124285981 -0.1104982338
#> [8,] -0.21344271 0.031770567 -0.31345754 0.3281681 0.116010518 -0.0713641821
#> [9,] -0.02529172 0.220382443 -0.09340247 0.4388111 0.132768957 0.0584898940
#> [10,] -0.08205874 -0.041529741 -0.18624355 0.4240531 0.027392634 -0.0255621008
#> [11,] -0.07247583 0.068124509 -0.15802950 0.3965673 0.022570338 -0.0204226672
#> [12,] -0.13843848 0.190928908 -0.09616783 0.2707635 0.142370311 0.0457010261
#> [13,] -0.22628303 0.047218245 -0.19503131 0.2942518 0.121894041 -0.0462256237
#> [14,] 0.04196131 0.143018876 -0.15386046 0.3083656 0.042035838 0.0405542251
#> [15,] 0.07232356 0.166684048 -0.09923491 0.2772282 0.019253082 0.0677032587
#> [16,] -0.03141827 0.054389621 -0.14823221 0.2427267 0.149351368 0.0533212804
#> [17,] -0.13045593 0.241269512 -0.12988735 0.4554422 0.065357621 0.0139808461
#> [18,] -0.24203825 0.109986796 -0.22441563 0.3815711 0.122331056 -0.1433464071
#> [19,] -0.19699241 0.195030413 -0.08424869 0.3954770 0.165014360 0.0020493388
#> [20,] -0.17283643 0.125582194 -0.23494604 0.4002685 0.096797394 -0.0948610964
#> [21,] -0.08814406 -0.040122309 -0.29523907 0.3699696 0.038829501 0.1724927573
#> [22,] -0.15907247 -0.009991867 -0.21382118 0.2820837 0.165921900 -0.0295110048
#> [23,] -0.07437934 0.022711621 -0.22623719 0.2126150 0.106242526 0.0024057123
#> [24,] -0.12141657 0.129302149 -0.13708119 0.3561554 0.089560254 -0.0861239162
#> [25,] -0.16166513 0.092596472 -0.25818157 0.4466667 0.010427716 -0.1271129204
#> [26,] -0.13020985 -0.006696140 -0.12703903 0.2777890 0.060840203 -0.0006122963
#> [27,] -0.11519368 0.114455299 -0.17909430 0.3640581 0.130988871 0.1015548630
#> [28,] -0.18347698 0.144009882 -0.21283219 0.4096840 -0.019999595 -0.0872862198
#> [29,] -0.13447230 0.092324366 -0.19893786 0.3545134 0.039233741 -0.0874311214
#> [30,] -0.09524864 -0.023126109 -0.11327400 0.2533916 0.067796019 0.0246841254
#> [31,] -0.23803860 0.053292519 -0.19573575 0.3499353 0.189421853 0.0668750049
#> [32,] -0.16965326 0.115136545 -0.21972876 0.3607536 0.125509408 -0.0904692178
#> [33,] -0.03255401 0.100332357 -0.15590138 0.1897884 0.052756177 0.1351728886
#> [34,] -0.18788518 0.156884623 -0.19963293 0.4474527 0.071824114 -0.0229314058
#> [35,] -0.02836387 -0.017792463 -0.16238757 0.1390717 0.160977307 0.2678386703
#> [36,] -0.25998231 0.079487355 -0.22420554 0.4179858 0.091910075 -0.1338104117
#> [37,] -0.14194825 -0.020135777 -0.22468980 0.2272987 0.191899851 0.1075369973
#> [38,] -0.22479710 0.118052798 -0.22985485 0.4210361 0.075885408 -0.0921042084
#> [39,] -0.16971920 0.106611818 -0.16319488 0.4676884 0.083691475 -0.0142383033
#> [40,] -0.17832480 0.071893251 -0.23201937 0.1892986 0.130240601 0.0467509762
#> [,7] [,8] [,9] [,10]
#> [1,] -1.393390e-01 -0.0313220273 0.064301245 0.1938460394
#> [2,] -5.941784e-02 0.0512240908 0.033163087 0.0108641412
#> [3,] -1.384311e-01 0.0584088900 -0.071369499 -0.0163729535
#> [4,] -8.167532e-02 -0.0154439499 0.010146791 0.0436034380
#> [5,] -1.003571e-01 -0.0522528923 -0.049011424 -0.0728956032
#> [6,] -2.087312e-01 0.0338452797 0.033641297 -0.0837505560
#> [7,] -8.779809e-02 -0.0133455574 0.008684833 0.1471169080
#> [8,] -1.573990e-02 -0.0586742188 0.016739611 0.1419002733
#> [9,] -1.446237e-01 -0.0001646662 0.005267511 0.0100865987
#> [10,] -1.261722e-01 0.0650498249 0.079518636 0.0768032117
#> [11,] -1.117057e-01 -0.0316701780 0.024692273 -0.0143076356
#> [12,] -1.362065e-01 0.1304452632 -0.035100101 0.1975001742
#> [13,] -6.848250e-02 -0.0352853216 0.022713417 0.1659429161
#> [14,] -1.165175e-01 -0.0537600348 -0.060630167 -0.1018859784
#> [15,] -9.203091e-02 -0.0293145246 -0.040040748 -0.0492120786
#> [16,] -1.242762e-01 -0.0260086075 0.035686989 0.0417009618
#> [17,] -1.404819e-01 -0.0653279549 -0.014227204 -0.0638365697
#> [18,] -6.722044e-02 0.0632683206 -0.035809217 0.0629917468
#> [19,] -2.543812e-01 -0.0040568428 0.049038552 0.0448943010
#> [20,] -1.563163e-01 0.0452932799 0.008764751 -0.0780792502
#> [21,] -7.466533e-02 -0.2130359927 0.026890805 0.1023230335
#> [22,] -7.421351e-02 -0.0811938738 0.080771149 0.1735710487
#> [23,] -3.468263e-02 -0.0473627299 0.050849934 0.1042399702
#> [24,] -6.453194e-02 0.0674941753 0.025267936 0.0239582608
#> [25,] -4.922789e-02 0.0226647810 -0.047622531 -0.0190236753
#> [26,] 4.983076e-02 0.0185141283 0.074106381 0.1665826605
#> [27,] -1.037851e-01 -0.0691938006 -0.030807434 0.1003914308
#> [28,] -8.797654e-03 -0.0294611564 -0.110652719 0.0490203618
#> [29,] -5.693268e-02 -0.0176837297 -0.036837786 -0.0006265448
#> [30,] 5.694893e-05 -0.0115878733 0.098460377 0.1494899193
#> [31,] -1.012643e-01 -0.1208630461 0.039744894 0.2002907493
#> [32,] -1.116445e-01 0.0172017539 -0.014609737 -0.0210768954
#> [33,] -1.249502e-01 -0.1513769866 0.099753681 0.0459928293
#> [34,] -1.254998e-01 0.0864876737 -0.035533834 0.1053883172
#> [35,] -6.972113e-02 -0.1310867539 0.065953636 0.1490886213
#> [36,] -6.548091e-02 0.0664171866 -0.025676279 0.0362037801
#> [37,] -1.527414e-01 -0.0726065917 0.103923707 0.2197678827
#> [38,] -6.719341e-02 0.0431763564 -0.029264841 -0.0505466605
#> [39,] -2.934790e-01 -0.0052322423 0.130509190 0.1529087963
#> [40,] -3.108113e-02 -0.0483341752 -0.077704176 0.0977463262
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 3.842113e-04 0.2470548
#> [2,] 4.202583e-03 0.2458105
#> [3,] 4.712037e-03 0.2521638
#> [4,] 1.649668e-04 0.2483769
#> [5,] -4.725442e-03 0.2498391
#> [6,] 7.425091e-03 0.2520719
#> [7,] 4.048258e-03 0.2453388
#> [8,] 7.719896e-04 0.2434406
#> [9,] 1.586537e-03 0.2523910
#> [10,] 2.660303e-03 0.2517503
#> [11,] 9.655291e-04 0.2493419
#> [12,] 4.800177e-03 0.2499870
#> [13,] 3.317303e-03 0.2431918
#> [14,] -3.210670e-03 0.2500526
#> [15,] -4.299371e-03 0.2505950
#> [16,] -6.565337e-05 0.2463744
#> [17,] 3.414397e-03 0.2497433
#> [18,] 6.261067e-03 0.2454984
#> [19,] 1.052567e-02 0.2479215
#> [20,] 7.444334e-03 0.2478875
#> [21,] -6.989793e-03 0.2489885
#> [22,] 1.550585e-03 0.2424409
#> [23,] -1.992993e-03 0.2437409
#> [24,] 3.913460e-03 0.2470831
#> [25,] 2.182550e-03 0.2489595
#> [26,] -2.207879e-03 0.2445578
#> [27,] -1.112467e-03 0.2491974
#> [28,] -6.280675e-04 0.2481013
#> [29,] 1.145277e-03 0.2464524
#> [30,] -1.915737e-03 0.2444827
#> [31,] 2.110897e-03 0.2442432
#> [32,] 5.125657e-03 0.2460330
#> [33,] -2.119031e-03 0.2449084
#> [34,] 5.240066e-03 0.2521724
#> [35,] -6.962134e-03 0.2450368
#> [36,] 6.369335e-03 0.2463259
#> [37,] 1.792954e-03 0.2447364
#> [38,] 5.039089e-03 0.2471291
#> [39,] 1.075400e-02 0.2516115
#> [40,] -1.803098e-03 0.2430738
#>
#>
#> $e
#> [,1] [,2]
#> [1,] 0.5613569 -0.5613569
#> [2,] -0.4398902 0.4398902
#> [3,] 0.5615492 -0.5615492
#> [4,] -0.4382637 0.4382637
#> [5,] -0.4367003 0.4367003
#> [6,] -0.4391415 0.4391415
#> [7,] 0.5600317 -0.5600317
#> [8,] -0.4396288 0.4396288
#> [9,] -0.4376255 0.4376255
#> [10,] 0.5619525 -0.5619525
#> [11,] -0.4382232 0.4382232
#> [12,] 0.5609915 -0.5609915
#> [13,] 0.5596827 -0.5596827
#> [14,] -0.4370204 0.4370204
#> [15,] -0.4366192 0.4366192
#> [16,] 0.5613001 -0.5613001
#> [17,] 0.5612727 -0.5612727
#> [18,] 0.5595257 -0.5595257
#> [19,] 0.5590718 -0.5590718
#> [20,] 0.5598229 -0.5598229
#> [21,] -0.4363526 0.4363526
#> [22,] 0.5599331 -0.5599331
#> [23,] -0.4388738 0.4388738
#> [24,] -0.4395054 0.4395054
#> [25,] -0.4386170 0.4386170
#> [26,] -0.4386197 0.4386197
#> [27,] -0.4377472 0.4377472
#> [28,] 0.5618637 -0.5618637
#> [29,] -0.4389789 0.4389789
#> [30,] 0.5612898 -0.5612898
#> [31,] 0.5602390 -0.5602390
#> [32,] 0.5599372 -0.5599372
#> [33,] -0.4385553 0.4385553
#> [34,] 0.5614213 -0.5614213
#> [35,] -0.4373316 0.4373316
#> [36,] 0.5597029 -0.5597029
#> [37,] -0.4395611 0.4395611
#> [38,] 0.5602286 -0.5602286
#> [39,] 0.5599250 -0.5599250
#> [40,] -0.4390849 0.4390849
#>
#> $L
#> [1] 0.6948183 0.7035748 0.6908183 0.7465028 0.7865682 0.6995319
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.3913043