Deep Neural Network with DBN Pretraining Learner
Source:R/learner_deepnet_classif_dbnDNN.R
mlr_learners_classif.dbnDNN.RdDeep neural network with weights initialized by a deep belief network.
Calls deepnet::dbn.dnn.train() from deepnet.
This learner works with tasks that have at least two features.
Parameters
| Id | Type | Default | Levels | Range |
| hidden | untyped | - | - | |
| activationfun | character | - | sigm, linear, tanh | - |
| learningrate | numeric | - | \([0, \infty)\) | |
| momentum | numeric | - | \([0, \infty)\) | |
| learningrate_scale | numeric | - | \([0, \infty)\) | |
| numepochs | integer | - | \([1, \infty)\) | |
| batchsize | integer | - | \([1, \infty)\) | |
| output | character | - | sigm, linear, softmax | - |
| hidden_dropout | numeric | - | \([0, 1]\) | |
| visible_dropout | numeric | - | \([0, 1]\) | |
| cd | integer | - | \([1, \infty)\) |
References
Rong X (2014). deepnet: Deep Learning Toolkit in R. R package version 0.2.1, 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 -> LearnerClassifDbnDNN
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()
LearnerClassifDbnDNN$new()
Creates a new instance of this R6 class.
Usage
LearnerClassifDbnDNN$new()Examples
# Define the Learner
learner = lrn("classif.dbnDNN")
print(learner)
#>
#> ── <LearnerClassifDbnDNN> (classif.dbnDNN): Deep Belief Network DNN ────────────
#> • Model: -
#> • Parameters: hidden=10, activationfun=sigm, learningrate=0.8, momentum=0.5,
#> learningrate_scale=1, numepochs=3, batchsize=100, output=softmax,
#> hidden_dropout=0, visible_dropout=0, cd=1
#> • 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)
#> begin to train dbn ......
#> training layer 1 rbm ...
#> dbn has been trained.
#> begin to train deep nn ......
#> deep nn has been trained.
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 V14
#> [1,] -0.2349194 -0.20168195 -0.20814564 -0.17236479 -0.17099475 -0.036420627
#> [2,] -0.3345130 0.03713703 -0.13203485 -0.05345440 0.02594727 -0.072476069
#> [3,] -0.2587017 -0.20416817 -0.04451626 -0.18623682 -0.14586062 -0.064590641
#> [4,] -0.4575802 -0.09542765 -0.06048097 -0.07138491 -0.01762962 -0.089261211
#> [5,] -0.2521951 -0.19116486 -0.22143011 -0.05344319 -0.13586617 -0.185900193
#> [6,] -0.1898844 -0.19357261 -0.20692463 -0.07065425 -0.09758825 -0.075064141
#> [7,] -0.3351530 -0.21026765 -0.23289578 -0.14925311 -0.17997418 -0.182096982
#> [8,] -0.2536300 -0.03082008 -0.08674669 -0.09361515 -0.18376027 -0.117992479
#> [9,] -0.3149645 -0.06681684 -0.08014730 -0.01706021 -0.11416806 -0.109217597
#> [10,] -0.2999356 -0.16112663 -0.01856231 -0.18270953 -0.07348166 0.005704187
#> V15 V16 V17 V18 V19 V2
#> [1,] 0.009055893 -0.07860882 -0.027072853 -0.005861022 -0.06316150 -0.3485902
#> [2,] -0.006933576 0.03891020 -0.006625749 0.079935956 0.19598125 -0.3227722
#> [3,] 0.020383868 -0.07273724 0.027313825 0.044680311 -0.06736109 -0.2951128
#> [4,] -0.073175692 0.09742632 0.030586722 0.073051511 0.10809535 -0.3940097
#> [5,] -0.083757488 -0.17636887 -0.050568584 -0.031756247 -0.02617237 -0.3721864
#> [6,] -0.087322223 -0.02138447 0.064345816 -0.030446737 0.13089846 -0.2027687
#> [7,] -0.216760383 -0.19317220 -0.143580511 -0.171109442 -0.14840747 -0.1872297
#> [8,] -0.067263369 -0.03569001 -0.024302499 -0.094992660 0.04270356 -0.2129050
#> [9,] 0.003554792 -0.01830397 0.021757517 0.128380007 0.13489397 -0.3122888
#> [10,] -0.037479954 0.11623320 0.041460668 0.035438549 0.22722047 -0.2680218
#> V20 V21 V22 V23 V24 V25
#> [1,] 0.08993981 -0.01426747 0.036594965 0.10733670 0.076612447 0.128964495
#> [2,] 0.18369192 0.09541333 0.130061736 0.05469754 0.188604249 0.221330892
#> [3,] 0.07502365 0.11956784 0.056447293 0.23380958 0.268709477 0.186117001
#> [4,] 0.06978615 0.15544474 0.058866028 0.22874523 0.227169412 0.092924943
#> [5,] -0.11839984 -0.10001062 0.016730420 0.08849872 0.152526540 0.094046896
#> [6,] 0.11086385 0.16050032 0.071859626 0.03524473 -0.007484778 0.005801842
#> [7,] -0.03066284 0.04389770 0.004354102 0.14230823 0.015438681 0.166692172
#> [8,] 0.09627745 0.08954502 0.055427013 -0.05374539 -0.040085705 0.043447296
#> [9,] 0.04306167 0.23957830 0.185785753 0.07544461 0.116416160 0.195445188
#> [10,] 0.14971891 0.20174068 0.269632084 0.18332495 0.185380144 0.156202769
#> V26 V27 V28 V29 V3 V30
#> [1,] 0.11181052 0.15871292 0.21463305 0.026889990 -0.3055988 0.03761941
#> [2,] 0.22766835 0.19449125 0.03946125 -0.025537412 -0.3346997 -0.02170200
#> [3,] 0.19488774 0.06189654 0.02149754 0.041388433 -0.2337253 -0.06547866
#> [4,] 0.15143056 0.10781025 0.04285996 0.174365509 -0.2861397 0.03807246
#> [5,] 0.19339763 0.09406650 0.04122281 -0.005879705 -0.1826257 0.11036105
#> [6,] 0.05239494 0.10151693 0.01559041 0.089901464 -0.1495888 -0.05335080
#> [7,] 0.11288754 0.14976523 0.21646140 0.067117386 -0.3480217 0.06010392
#> [8,] 0.00679476 0.18495729 0.12084257 0.160656091 -0.3556643 0.02495412
#> [9,] 0.16837111 0.09621862 0.14059569 -0.023461857 -0.3394787 -0.08421509
#> [10,] 0.27837841 0.18623968 0.25694208 0.141847453 -0.4033836 0.16545228
#> V31 V32 V33 V34 V35
#> [1,] -0.079908106 -0.03505879 -0.046661008 -0.02086731 0.004026355
#> [2,] 0.035615789 0.01347824 -0.057972753 -0.05915598 -0.041869243
#> [3,] -0.043270620 -0.09632203 -0.101315996 -0.12736384 -0.109053055
#> [4,] 0.029168950 0.03506507 0.006892562 -0.03130041 0.044665321
#> [5,] -0.005416562 -0.13702619 -0.158072466 0.03387770 -0.044683712
#> [6,] -0.007277189 -0.09834172 -0.057828796 0.07285449 -0.051555385
#> [7,] -0.092729794 -0.06331748 0.006602523 -0.14487819 -0.056830971
#> [8,] -0.005460784 -0.03556292 -0.013085052 -0.02035336 -0.135216562
#> [9,] 0.004438109 -0.02562921 -0.138958467 -0.11900060 0.033030999
#> [10,] 0.008303435 0.04156824 0.051606310 -0.02035608 0.143871500
#> V36 V37 V38 V39 V4
#> [1,] -0.039331596 0.02645248 -0.02797289 -0.1430262250 -0.2660585
#> [2,] 0.004040593 0.01605549 -0.01101286 0.1100274094 -0.2663682
#> [3,] -0.160834536 -0.10977161 -0.03932036 -0.1143579785 -0.2539705
#> [4,] 0.060892306 0.07661358 0.04592325 0.0002233436 -0.2293788
#> [5,] -0.029877000 -0.04222711 -0.06648951 -0.1574676733 -0.3053016
#> [6,] -0.003242591 -0.03096539 -0.10941066 0.0329492176 -0.2930906
#> [7,] -0.047655514 0.02325747 -0.15624811 -0.2138652507 -0.2464075
#> [8,] -0.092712233 -0.19826647 -0.15678551 -0.1521880037 -0.1935525
#> [9,] -0.183113751 -0.15553072 -0.14291378 0.0181120101 -0.3831553
#> [10,] 0.087101185 -0.01792628 0.12153625 -0.0190916323 -0.3482096
#> V40 V41 V42 V43 V44
#> [1,] -0.049508078 -0.013470902 -0.16022463 -0.038700239 -0.15058335
#> [2,] -0.089273017 -0.131299567 0.03453141 -0.004840601 0.02115109
#> [3,] -0.124173453 -0.061121143 -0.14585348 -0.091286831 -0.16845100
#> [4,] -0.136265292 0.002913349 -0.05749064 -0.094627519 -0.02511605
#> [5,] -0.056971120 -0.106704792 -0.24696038 -0.156043771 -0.14942489
#> [6,] -0.003124055 -0.224158144 -0.07409288 -0.112966768 -0.10231589
#> [7,] -0.115881075 -0.032971125 -0.09346509 -0.034698163 -0.14084344
#> [8,] -0.051617987 -0.095866790 -0.07622019 -0.225564245 -0.24188291
#> [9,] 0.024077043 -0.045141299 -0.14102062 -0.158866741 -0.20847848
#> [10,] -0.050466738 -0.024426628 -0.02697080 -0.092390513 -0.11637297
#> V45 V46 V47 V48 V49 V5
#> [1,] -0.20553589 -0.1553982 -0.2544643 -0.2836104 -0.2509955 -0.1970228
#> [2,] -0.13398097 -0.0516557 -0.1728534 -0.2711671 -0.1713642 -0.2277264
#> [3,] -0.23928726 -0.1417832 -0.1547609 -0.2905082 -0.2495138 -0.3031205
#> [4,] -0.07187391 -0.2026495 -0.1731298 -0.2788084 -0.2931500 -0.2958437
#> [5,] -0.13006029 -0.1248619 -0.2675940 -0.1815870 -0.3590064 -0.2753877
#> [6,] -0.09216607 -0.1175713 -0.2011949 -0.0932822 -0.1929826 -0.2270785
#> [7,] -0.14928580 -0.1417531 -0.1307141 -0.2995567 -0.2039329 -0.2684519
#> [8,] -0.10871656 -0.1664387 -0.1639445 -0.2876591 -0.2152903 -0.2768650
#> [9,] -0.12003600 -0.2369610 -0.1241579 -0.2305719 -0.3529038 -0.2592460
#> [10,] -0.08221306 -0.2200953 -0.2451212 -0.1412236 -0.3530901 -0.2087426
#> V50 V51 V52 V53 V54 V55
#> [1,] -0.2973514 -0.3029291 -0.2430069 -0.2847763 -0.3383462 -0.3495939
#> [2,] -0.3164120 -0.2884313 -0.3240305 -0.3240598 -0.2362034 -0.4197463
#> [3,] -0.3609523 -0.3444911 -0.3154583 -0.4149675 -0.3882041 -0.2885469
#> [4,] -0.2863489 -0.4309383 -0.3449001 -0.3756512 -0.4018213 -0.3212585
#> [5,] -0.4129829 -0.2248972 -0.3667275 -0.3979451 -0.2991330 -0.4025789
#> [6,] -0.2932272 -0.3543496 -0.2468641 -0.3535519 -0.2569979 -0.3839876
#> [7,] -0.2197423 -0.3203861 -0.3771101 -0.3422996 -0.4095888 -0.3479002
#> [8,] -0.2406227 -0.2974343 -0.3062513 -0.3660156 -0.2870867 -0.3190653
#> [9,] -0.3359423 -0.3705219 -0.2983200 -0.3356648 -0.4073481 -0.2816064
#> [10,] -0.4496218 -0.4231643 -0.3491770 -0.2826640 -0.3284254 -0.3574833
#> V56 V57 V58 V59 V6 V60
#> [1,] -0.4018011 -0.3949042 -0.3054578 -0.2682273 -0.2152611 -0.3263358
#> [2,] -0.3234355 -0.2961115 -0.3403845 -0.4039758 -0.1863342 -0.3392817
#> [3,] -0.4444053 -0.4042264 -0.4294253 -0.2697610 -0.1593380 -0.2724832
#> [4,] -0.3335806 -0.3416702 -0.3890819 -0.3581469 -0.2622058 -0.4852924
#> [5,] -0.3325514 -0.3631943 -0.3555116 -0.3706508 -0.1513916 -0.3907236
#> [6,] -0.3382350 -0.2653909 -0.3080243 -0.2397743 -0.1777388 -0.2080553
#> [7,] -0.3391276 -0.3961310 -0.3118119 -0.3199502 -0.2201650 -0.3590640
#> [8,] -0.3703068 -0.2785996 -0.3900043 -0.3836019 -0.1907011 -0.3926916
#> [9,] -0.3472999 -0.3007001 -0.3875697 -0.3848100 -0.1644798 -0.4054696
#> [10,] -0.3493585 -0.3306448 -0.4087578 -0.4385384 -0.2707551 -0.3421500
#> V7 V8 V9
#> [1,] -0.1786481 -0.17954311 -0.09080889
#> [2,] -0.1411554 -0.09638201 -0.07788596
#> [3,] -0.2560900 -0.09887779 -0.09683196
#> [4,] -0.1953131 -0.14962685 -0.07079781
#> [5,] -0.1899161 -0.13222161 -0.17605271
#> [6,] -0.1851322 -0.11109613 -0.17587477
#> [7,] -0.1598534 -0.14231387 -0.29383097
#> [8,] -0.2494513 -0.17654046 -0.20512132
#> [9,] -0.1824910 -0.12432974 -0.25057501
#> [10,] -0.2404396 -0.29760558 -0.10320920
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.11391577 -0.11623396 0.02912046 0.02627323 -0.14312446 -0.13200575
#> [2,] 0.04534726 -0.03077776 0.11825191 0.01036307 0.08555924 -0.02424663
#> [,7] [,8] [,9] [,10]
#> [1,] -0.04479323 0.02780882 -0.1298472 -0.03788180
#> [2,] 0.06551668 0.12571627 0.0191424 0.04469796
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] 5.935993e-05 0.0004876387 0.0005329869 0.0005180977 0.0005054483
#> [2,] 5.930663e-05 0.0004731276 0.0005056501 0.0004582289 0.0006547836
#> [3,] 3.710645e-05 0.0003129829 0.0003259449 0.0003038609 0.0005567044
#> [4,] -2.630462e-05 -0.0001635119 -0.0001643497 -0.0001568409 0.0003706244
#> [5,] 7.174085e-05 0.0006042892 0.0007090582 0.0007326558 0.0002917039
#> [6,] 5.401426e-05 0.0004418796 0.0004786396 0.0004601845 0.0005358306
#> [7,] 1.937008e-05 0.0001759137 0.0001850426 0.0001827120 0.0002685741
#> [8,] 4.031421e-05 0.0003366476 0.0003668955 0.0003596992 0.0004285553
#> [9,] 9.305725e-05 0.0007351909 0.0007904403 0.0007376499 0.0007261946
#> [10,] 3.579781e-05 0.0002795259 0.0003108722 0.0002823851 0.0004428195
#> V14 V15 V16 V17 V18
#> [1,] 0.0004592777 0.0004356777 0.0004767858 0.0004555074 0.0005372081
#> [2,] 0.0008695438 0.0010256289 0.0012344379 0.0012286026 0.0011997300
#> [3,] 0.0008281866 0.0010328149 0.0013061058 0.0013677054 0.0013095595
#> [4,] 0.0009842126 0.0014224481 0.0018926431 0.0020486391 0.0018295414
#> [5,] -0.0002852043 -0.0006957727 -0.0010427098 -0.0011989178 -0.0009400029
#> [6,] 0.0006003983 0.0006612915 0.0007789979 0.0007815385 0.0008195701
#> [7,] 0.0003526625 0.0004265084 0.0005444869 0.0005899827 0.0006038951
#> [8,] 0.0004873991 0.0005454723 0.0006541686 0.0006726230 0.0007060975
#> [9,] 0.0006776536 0.0006489891 0.0006915819 0.0006099147 0.0006944581
#> [10,] 0.0006331449 0.0007488825 0.0009023099 0.0008902194 0.0008448249
#> V19 V2 V20 V21 V22
#> [1,] 0.0008001784 7.530853e-05 1.015480e-03 0.0011014092 0.0011096416
#> [2,] 0.0012936307 9.796044e-05 1.471038e-03 0.0016830211 0.0019329413
#> [3,] 0.0012653686 6.831721e-05 1.307447e-03 0.0015139578 0.0018375644
#> [4,] 0.0013196289 1.248668e-05 1.028730e-03 0.0012740738 0.0018952734
#> [5,] -0.0003044955 6.753528e-05 6.755513e-05 -0.0000781314 -0.0004977916
#> [6,] 0.0009926794 7.604742e-05 1.169572e-03 0.0013076125 0.0014235712
#> [7,] 0.0006193316 2.720000e-05 6.431483e-04 0.0007316828 0.0008404009
#> [8,] 0.0008263831 5.616386e-05 9.460179e-04 0.0010599284 0.0011676287
#> [9,] 0.0011065171 1.255841e-04 1.488338e-03 0.0016316112 0.0016346130
#> [10,] 0.0008569442 6.618088e-05 9.465884e-04 0.0010761842 0.0012510846
#> V23 V24 V25 V26 V27
#> [1,] 0.0010211989 0.0009741929 0.0009385579 0.001006132 0.001017775
#> [2,] 0.0020270145 0.0021168365 0.0021595183 0.002195742 0.002051044
#> [3,] 0.0020284362 0.0022025710 0.0023428299 0.002384372 0.002250737
#> [4,] 0.0024202645 0.0028416468 0.0031917633 0.003134493 0.002838181
#> [5,] -0.0009822682 -0.0013859350 -0.0016800921 -0.001602424 -0.001359780
#> [6,] 0.0014223239 0.0014370631 0.0014365650 0.001481548 0.001434383
#> [7,] 0.0009045306 0.0009896529 0.0010760875 0.001111579 0.001082416
#> [8,] 0.0011824963 0.0012112641 0.0012339301 0.001270711 0.001234239
#> [9,] 0.0014767165 0.0013702376 0.0012594640 0.001346563 0.001318520
#> [10,] 0.0013410903 0.0014250857 0.0014667600 0.001472928 0.001354700
#> V28 V29 V3 V30 V31
#> [1,] 0.0010279902 0.0009444871 7.277447e-05 0.0008502399 0.0006293789
#> [2,] 0.0018530540 0.0017517616 1.250125e-04 0.0014596305 0.0011429108
#> [3,] 0.0019808076 0.0018461252 1.061540e-04 0.0015046448 0.0012433609
#> [4,] 0.0022334864 0.0020730055 9.161727e-05 0.0014696627 0.0013140820
#> [5,] -0.0009107519 -0.0008567013 4.490146e-06 -0.0005980191 -0.0006773634
#> [6,] 0.0013493025 0.0012525283 8.637712e-05 0.0010727778 0.0008297276
#> [7,] 0.0009751612 0.0008767753 4.137386e-05 0.0007376272 0.0006136381
#> [8,] 0.0011503377 0.0010625047 6.667451e-05 0.0009016620 0.0007105644
#> [9,] 0.0013454767 0.0012660655 1.192460e-04 0.0011685327 0.0008314453
#> [10,] 0.0011844987 0.0011198685 8.814600e-05 0.0008917330 0.0007060083
#> V32 V33 V34 V35 V36
#> [1,] 0.0005764260 0.0005038425 0.0003461708 0.0001965923 0.0001144280
#> [2,] 0.0009915648 0.0011070291 0.0010070573 0.0009949783 0.0010354983
#> [3,] 0.0010500338 0.0011494770 0.0011207911 0.0011915397 0.0012813495
#> [4,] 0.0009968561 0.0013039093 0.0014901741 0.0018716419 0.0022534746
#> [5,] -0.0005055977 -0.0008028335 -0.0011645331 -0.0015988980 -0.0018335229
#> [6,] 0.0007313093 0.0007199406 0.0005970020 0.0005095466 0.0004797729
#> [7,] 0.0005297376 0.0005139990 0.0004933579 0.0005018583 0.0005005712
#> [8,] 0.0006237095 0.0006033869 0.0005126930 0.0004503123 0.0004268975
#> [9,] 0.0007797820 0.0007418182 0.0004976286 0.0002656806 0.0001377915
#> [10,] 0.0005935311 0.0007113227 0.0006660240 0.0006940496 0.0007863319
#> V37 V38 V39 V4 V40
#> [1,] 0.0002066175 0.0003633938 0.0004616067 1.060163e-04 0.0003602296
#> [2,] 0.0009825159 0.0006456953 0.0004156594 1.476022e-04 0.0004399340
#> [3,] 0.0011693736 0.0006545805 0.0003324133 1.101839e-04 0.0004291142
#> [4,] 0.0018825816 0.0005822311 -0.0001378224 5.564002e-05 0.0002378018
#> [5,] -0.0014101716 -0.0003213044 0.0003897451 7.207509e-05 0.0000471460
#> [6,] 0.0005196335 0.0004626292 0.0004143409 1.102389e-04 0.0003751344
#> [7,] 0.0004602545 0.0003103784 0.0002297323 4.768734e-05 0.0002474452
#> [8,] 0.0004469415 0.0003762325 0.0003319750 8.377381e-05 0.0003122555
#> [9,] 0.0002901768 0.0005298188 0.0006358412 1.704602e-04 0.0004722097
#> [10,] 0.0007228026 0.0004015291 0.0002160099 1.019003e-04 0.0002604781
#> V41 V42 V43 V44 V45
#> [1,] 3.664405e-04 4.571825e-04 4.326921e-04 4.340565e-04 0.0005076920
#> [2,] 4.272537e-04 4.887833e-04 4.748787e-04 4.959276e-04 0.0004653394
#> [3,] 3.735059e-04 3.752890e-04 3.897541e-04 4.154803e-04 0.0002925230
#> [4,] 7.521951e-05 -5.916644e-05 2.912877e-05 8.752553e-05 -0.0003190600
#> [5,] 1.553962e-04 3.946164e-04 3.278508e-04 2.985287e-04 0.0006351373
#> [6,] 3.729681e-04 4.389771e-04 4.231554e-04 4.292223e-04 0.0004466545
#> [7,] 2.045393e-04 1.975568e-04 2.066891e-04 2.198982e-04 0.0001688307
#> [8,] 3.000893e-04 3.420955e-04 3.352056e-04 3.418156e-04 0.0003386510
#> [9,] 5.312855e-04 6.924537e-04 6.370213e-04 6.438284e-04 0.0008124945
#> [10,] 2.329829e-04 2.688014e-04 2.687062e-04 2.882358e-04 0.0002413521
#> V46 V47 V48 V49 V5
#> [1,] 0.0004199980 3.030265e-04 2.306916e-04 1.256929e-04 1.487492e-04
#> [2,] 0.0003627719 2.406664e-04 2.149970e-04 1.018462e-04 1.898882e-04
#> [3,] 0.0002265456 1.501509e-04 1.429931e-04 6.304180e-05 1.583868e-04
#> [4,] -0.0002992514 -2.301233e-04 -1.157464e-04 -9.170116e-05 9.434799e-05
#> [5,] 0.0005644840 4.351081e-04 2.933484e-04 1.788606e-04 8.881229e-05
#> [6,] 0.0003631296 2.609932e-04 2.085327e-04 1.083645e-04 1.526361e-04
#> [7,] 0.0001365022 9.839964e-05 7.811796e-05 3.889874e-05 7.812664e-05
#> [8,] 0.0002765903 2.016647e-04 1.590764e-04 8.268540e-05 1.210382e-04
#> [9,] 0.0006618249 4.603595e-04 3.605553e-04 1.919467e-04 2.147298e-04
#> [10,] 0.0001824176 1.149991e-04 1.184385e-04 5.189157e-05 1.283230e-04
#> V50 V51 V52 V53 V54
#> [1,] 3.949944e-05 3.581365e-05 2.863924e-05 1.721364e-05 1.882592e-05
#> [2,] 3.738398e-05 3.721477e-05 3.041868e-05 2.566514e-05 3.359890e-05
#> [3,] 2.917835e-05 2.532286e-05 2.069428e-05 2.178403e-05 3.024216e-05
#> [4,] -1.302896e-05 -1.308382e-05 -9.640656e-06 1.466590e-05 2.850361e-05
#> [5,] 3.667777e-05 3.810404e-05 2.827172e-05 2.123112e-06 -6.508009e-06
#> [6,] 3.673144e-05 3.404961e-05 2.693171e-05 1.944105e-05 2.370974e-05
#> [7,] 1.777418e-05 1.231378e-05 1.109950e-05 9.911192e-06 1.270839e-05
#> [8,] 2.907317e-05 2.568434e-05 2.053654e-05 1.531286e-05 1.870402e-05
#> [9,] 5.822104e-05 5.706768e-05 4.575520e-05 2.638531e-05 3.030522e-05
#> [10,] 1.944651e-05 2.087771e-05 1.761395e-05 1.644529e-05 2.200197e-05
#> V55 V56 V57 V58 V59
#> [1,] 1.536003e-05 1.377662e-05 1.095645e-05 1.684059e-05 1.227459e-05
#> [2,] 2.276650e-05 2.450743e-05 2.470610e-05 1.766059e-05 1.815895e-05
#> [3,] 2.008371e-05 2.277933e-05 2.412784e-05 1.263539e-05 1.528449e-05
#> [4,] 1.472696e-05 2.263526e-05 2.950088e-05 -2.682479e-06 9.963214e-06
#> [5,] -2.956408e-07 -5.759574e-06 -1.333168e-05 1.642666e-05 2.060438e-06
#> [6,] 1.728353e-05 1.711891e-05 1.538014e-05 1.587569e-05 1.352007e-05
#> [7,] 9.451666e-06 9.859968e-06 9.656344e-06 6.524672e-06 7.106412e-06
#> [8,] 1.362347e-05 1.368849e-05 1.234636e-05 1.208487e-05 1.053229e-05
#> [9,] 2.346616e-05 2.117397e-05 1.717989e-05 2.542624e-05 1.872000e-05
#> [10,] 1.515792e-05 1.668261e-05 1.777987e-05 1.058961e-05 1.226323e-05
#> V6 V60 V7 V8 V9
#> [1,] 1.596041e-04 1.039898e-05 2.021389e-04 0.0002350622 3.882776e-04
#> [2,] 2.523787e-04 1.693329e-05 3.249560e-04 0.0003215706 4.349547e-04
#> [3,] 2.311691e-04 1.547281e-05 2.953319e-04 0.0002627246 3.124556e-04
#> [4,] 2.250512e-04 1.354320e-05 2.739854e-04 0.0001616945 -7.224366e-07
#> [5,] -3.138527e-06 -1.946244e-06 -1.743252e-05 0.0001129505 3.772855e-04
#> [6,] 1.864209e-04 1.209889e-05 2.384632e-04 0.0002476821 3.704579e-04
#> [7,] 1.052270e-04 7.342622e-06 1.363601e-04 0.0001240749 1.590333e-04
#> [8,] 1.509521e-04 9.682036e-06 1.922261e-04 0.0001939578 2.828937e-04
#> [9,] 2.261951e-04 1.527747e-05 2.963560e-04 0.0003491949 5.932766e-04
#> [10,] 1.789804e-04 1.144795e-05 2.212571e-04 0.0002240371 2.800356e-04
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.07489196 0.07694041 0.07399519 0.08316073 0.06375051 0.06138877
#> [2,] -0.07489196 -0.07694041 -0.07399519 -0.08316073 -0.06375051 -0.06138877
#> [,7] [,8] [,9] [,10]
#> [1,] 0.06056892 0.05515255 0.0744468 0.08672913
#> [2,] -0.06056892 -0.05515255 -0.0744468 -0.08672913
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.3847585 0.5133418 0.5567404 0.6368768 0.3085336 0.2294998 0.2607458
#> [8] 0.2475174 0.6622985 0.6748976
#>
#> $B[[2]]
#> [1] 0.065047998 -0.004893172
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 0.001330660 0.002657823 0.002776235 0.003354947 -0.001572535
#> [6] 0.001838790 0.001295086 0.001550214 0.001830232 0.001781612
#>
#> $vB[[2]]
#> [1] 0.09027296 -0.09027296
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0411 0.2300 0.1370 0.1335 0.2137 0.1526 0.0775 0.1196 0.0903 0.0689
#> [2,] 0.0209 0.1853 0.1748 0.1556 0.1476 0.1378 0.2584 0.3827 0.4784 0.5360
#> [3,] 0.0414 0.1975 0.2309 0.3025 0.3938 0.5050 0.5872 0.6610 0.7417 0.8006
#> [4,] 0.0139 0.1015 0.1261 0.0828 0.0493 0.0848 0.1514 0.1396 0.1066 0.1923
#> [5,] 0.0409 0.2259 0.2373 0.3323 0.3827 0.4840 0.6812 0.7555 0.9522 0.9826
#> [6,] 0.0428 0.0113 0.1255 0.2473 0.3011 0.3747 0.4520 0.5392 0.6588 0.7113
#> [7,] 0.0094 0.1328 0.1303 0.0273 0.0644 0.0712 0.1204 0.0717 0.1224 0.2349
#> [8,] 0.0188 0.1806 0.2139 0.1523 0.1975 0.4844 0.7298 0.7807 0.7906 0.6122
#> [9,] 0.0412 0.2058 0.1546 0.2671 0.3141 0.2904 0.3531 0.5079 0.4639 0.1859
#> [10,] 0.0201 0.1097 0.0841 0.0942 0.1204 0.0420 0.0031 0.0162 0.0624 0.2127
#> [11,] 0.0270 0.1520 0.1675 0.1370 0.1361 0.1345 0.2144 0.5354 0.6830 0.5600
#> [12,] 0.0025 0.1430 0.0994 0.2250 0.2444 0.3239 0.3039 0.2410 0.0367 0.1672
#> [13,] 0.0210 0.0686 0.1125 0.1741 0.2710 0.3087 0.3575 0.4998 0.6011 0.6470
#> [14,] 0.0221 0.1810 0.2549 0.2984 0.2624 0.1893 0.0668 0.2666 0.4274 0.6291
#> [15,] 0.0423 0.2696 0.3412 0.4292 0.3682 0.3940 0.2965 0.3172 0.2825 0.3050
#> [16,] 0.0177 0.0613 0.1680 0.3476 0.4561 0.5188 0.6308 0.7201 0.5153 0.3818
#> [17,] 0.0087 0.0818 0.1315 0.1862 0.2789 0.2579 0.2240 0.2568 0.2933 0.2991
#> [18,] 0.0039 0.0452 0.0492 0.0996 0.1424 0.1194 0.0628 0.0907 0.1177 0.1429
#> [19,] 0.0239 0.1376 0.0938 0.0259 0.1499 0.2851 0.5743 0.8278 0.8669 0.8131
#> [20,] 0.0305 0.3127 0.2192 0.2621 0.2419 0.2179 0.1159 0.1237 0.0886 0.1755
#> [21,] 0.0090 0.1895 0.1896 0.2547 0.4073 0.2988 0.2901 0.5326 0.4022 0.1571
#> [22,] 0.0162 0.1334 0.2969 0.4754 0.5677 0.5690 0.6421 0.7487 0.8999 1.0000
#> [23,] 0.0163 0.2822 0.3691 0.3750 0.3927 0.3308 0.1085 0.1139 0.3446 0.5441
#> [24,] 0.0109 0.1036 0.0972 0.0501 0.1546 0.3404 0.4804 0.6570 0.7738 0.7827
#> [25,] 0.0192 0.1186 0.1237 0.1601 0.3520 0.4479 0.3769 0.5761 0.6426 0.6790
#> [26,] 0.0202 0.1370 0.0843 0.0269 0.1254 0.3046 0.5584 0.7973 0.8341 0.8057
#> [27,] 0.0307 0.2792 0.3877 0.4992 0.4981 0.4972 0.5607 0.7339 0.8230 0.9173
#> [28,] 0.0365 0.3735 0.3042 0.0387 0.2679 0.5397 0.6204 0.7257 0.8350 0.6888
#> [29,] 0.0129 0.2245 0.2431 0.3134 0.3206 0.2917 0.2249 0.2347 0.2143 0.2939
#> [30,] 0.0272 0.3997 0.3941 0.3309 0.2926 0.1760 0.1739 0.2043 0.2088 0.2678
#> [31,] 0.0079 0.1240 0.1097 0.1215 0.1874 0.3383 0.3227 0.2723 0.3943 0.6432
#> [32,] 0.0108 0.0393 0.1106 0.1412 0.2202 0.2976 0.4116 0.4754 0.5390 0.6279
#> [33,] 0.0225 0.1452 0.1442 0.0948 0.0618 0.1641 0.0708 0.0844 0.2590 0.2679
#> [34,] 0.0329 0.2672 0.3056 0.3161 0.2314 0.2067 0.1804 0.2808 0.4423 0.5947
#> [35,] 0.0453 0.2872 0.4918 0.6552 0.6919 0.7797 0.7464 0.9444 1.0000 0.8874
#> [36,] 0.0363 0.1444 0.1989 0.2154 0.2863 0.3570 0.3980 0.4359 0.5334 0.6304
#> [37,] 0.0190 0.0349 0.1459 0.3473 0.3197 0.2823 0.0166 0.0572 0.2164 0.4563
#> [38,] 0.0392 0.2471 0.2680 0.3049 0.2863 0.2294 0.1165 0.2127 0.2062 0.2222
#> [39,] 0.0269 0.5915 0.6675 0.5679 0.5175 0.3334 0.2002 0.2856 0.2937 0.3424
#> [40,] 0.0200 0.2111 0.1609 0.1582 0.2238 0.0645 0.0660 0.2273 0.3100 0.2999
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.2071 0.0277 0.2975 0.2836 0.3353 0.3622 0.3202 0.3452 0.3562 0.3892
#> [2,] 0.6192 0.0278 0.7912 0.9264 1.0000 0.9080 0.7435 0.5557 0.3172 0.1295
#> [3,] 0.8456 0.0436 0.7939 0.8804 0.8384 0.7852 0.8479 0.7434 0.6433 0.5514
#> [4,] 0.2991 0.0222 0.3247 0.3797 0.5658 0.7483 0.8757 0.9048 0.7511 0.6858
#> [5,] 0.8871 0.0421 0.8268 0.7561 0.8217 0.6967 0.6444 0.6948 0.8014 0.6053
#> [6,] 0.7602 0.0555 0.8672 0.8416 0.7974 0.8385 0.9317 0.8555 0.6162 0.4139
#> [7,] 0.3684 0.0166 0.3918 0.4925 0.8793 0.9606 0.8786 0.6905 0.6937 0.5674
#> [8,] 0.4200 0.0370 0.2807 0.5148 0.7569 0.8596 1.0000 0.8457 0.6797 0.6971
#> [9,] 0.4474 0.1135 0.4079 0.5400 0.4786 0.4332 0.6113 0.5091 0.4606 0.7243
#> [10,] 0.3436 0.0026 0.3813 0.3825 0.4764 0.6313 0.7523 0.8675 0.8788 0.7901
#> [11,] 0.3093 0.0092 0.3226 0.4430 0.5573 0.5782 0.6173 0.8132 0.9819 0.9823
#> [12,] 0.3038 0.0309 0.4069 0.3613 0.1994 0.4611 0.6849 0.7272 0.7152 0.7102
#> [13,] 0.8067 0.0121 0.9008 0.8906 0.9338 1.0000 0.9102 0.8496 0.7867 0.7688
#> [14,] 0.7782 0.0065 0.7686 0.8099 0.8493 0.9440 0.9450 0.9655 0.8045 0.4969
#> [15,] 0.2408 0.0321 0.5420 0.6802 0.6320 0.5824 0.6805 0.5984 0.8412 0.9911
#> [16,] 0.2644 0.0300 0.3345 0.4865 0.6628 0.7389 0.9213 1.0000 0.7750 0.5593
#> [17,] 0.3924 0.0046 0.4691 0.5665 0.6464 0.6774 0.7577 0.8856 0.9419 1.0000
#> [18,] 0.1223 0.0063 0.1104 0.1847 0.3715 0.4382 0.5707 0.6654 0.7476 0.7654
#> [19,] 0.9045 0.0189 0.9046 1.0000 0.9976 0.9872 0.9761 0.9009 0.9724 0.9675
#> [20,] 0.1758 0.0363 0.1540 0.0512 0.1805 0.4039 0.5697 0.6577 0.7474 0.8543
#> [21,] 0.3024 0.0062 0.3907 0.3542 0.4438 0.6414 0.4601 0.6009 0.8690 0.8345
#> [22,] 0.9690 0.0253 0.9032 0.7685 0.6998 0.6644 0.5964 0.3711 0.0921 0.0481
#> [23,] 0.6470 0.0198 0.7276 0.7894 0.8264 0.8697 0.7836 0.7140 0.5698 0.2908
#> [24,] 0.8152 0.0093 0.8129 0.8297 0.8535 0.8870 0.8894 0.8980 0.9667 1.0000
#> [25,] 0.7157 0.0607 0.5466 0.5399 0.6362 0.7849 0.7756 0.5780 0.4862 0.4181
#> [26,] 0.8616 0.0104 0.8769 0.9413 0.9403 0.9409 1.0000 0.9725 0.9309 0.9351
#> [27,] 0.9975 0.0523 0.9911 0.8240 0.6498 0.5980 0.4862 0.3150 0.1543 0.0989
#> [28,] 0.4450 0.1632 0.3921 0.5605 0.7545 0.8311 1.0000 0.8762 0.7092 0.7009
#> [29,] 0.4898 0.0141 0.6127 0.7531 0.7718 0.7432 0.8673 0.9308 0.9836 1.0000
#> [30,] 0.2434 0.0378 0.1839 0.2802 0.6172 0.8015 0.8313 0.8440 0.8494 0.9168
#> [31,] 0.7271 0.0086 0.8673 0.9674 0.9847 0.9480 0.8036 0.6833 0.5136 0.3090
#> [32,] 0.7060 0.0086 0.7918 0.9493 1.0000 0.9645 0.9432 0.8658 0.7895 0.6501
#> [33,] 0.3094 0.0019 0.4678 0.5958 0.7245 0.8773 0.9214 0.9282 0.9942 1.0000
#> [34,] 0.6601 0.0216 0.5844 0.4539 0.4789 0.5646 0.5281 0.7115 1.0000 0.9564
#> [35,] 0.8024 0.0523 0.7818 0.5212 0.4052 0.3957 0.3914 0.3250 0.3200 0.3271
#> [36,] 0.6995 0.0478 0.7435 0.8379 0.8641 0.9014 0.9432 0.9536 1.0000 0.9547
#> [37,] 0.3819 0.0038 0.5627 0.6484 0.7235 0.8242 0.8766 1.0000 0.8582 0.6563
#> [38,] 0.3241 0.0108 0.4330 0.5071 0.5944 0.7078 0.7641 0.8878 0.9711 0.9880
#> [39,] 0.5949 0.0383 0.7526 0.8959 0.8147 0.7109 0.7378 0.7201 0.8254 0.8917
#> [40,] 0.5078 0.0371 0.4797 0.5783 0.5071 0.4328 0.5550 0.6711 0.6415 0.7104
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.6622 0.9254 0.0604 1.0000 0.8528 0.6297 0.5250 0.4012 0.2901 0.2007
#> [2,] 0.0598 0.2722 0.0115 0.3616 0.3293 0.4855 0.3936 0.1845 0.0342 0.2489
#> [3,] 0.3519 0.3168 0.0447 0.3346 0.2056 0.1032 0.3168 0.4040 0.4282 0.4538
#> [4,] 0.7043 0.5864 0.0089 0.3773 0.2206 0.2628 0.2672 0.2907 0.1982 0.2288
#> [5,] 0.6084 0.8877 0.0573 0.8557 0.5563 0.2897 0.3638 0.4786 0.2908 0.0899
#> [6,] 0.3269 0.3108 0.0708 0.2554 0.3367 0.4465 0.5000 0.5111 0.5194 0.4619
#> [7,] 0.6540 0.7802 0.0398 0.7575 0.5836 0.6316 0.8108 0.9039 0.8647 0.6695
#> [8,] 0.5843 0.4772 0.0953 0.5201 0.4241 0.1592 0.1668 0.0588 0.3967 0.7147
#> [9,] 0.8987 0.8826 0.0518 0.9201 0.8005 0.6033 0.2120 0.2866 0.4033 0.2803
#> [10,] 0.8357 0.9631 0.0138 0.9619 0.9236 0.8903 0.9708 0.9647 0.7892 0.5307
#> [11,] 0.9166 0.7423 0.0145 0.7736 0.8473 0.7352 0.6671 0.6083 0.6239 0.5972
#> [12,] 0.8516 1.0000 0.0171 0.7690 0.4841 0.3717 0.6096 0.5110 0.2586 0.0916
#> [13,] 0.7718 0.6268 0.0203 0.4301 0.2077 0.1198 0.1660 0.2618 0.3862 0.3958
#> [14,] 0.3960 0.3856 0.0164 0.5574 0.7309 0.8549 0.9425 0.8726 0.6673 0.4694
#> [15,] 0.9187 0.8005 0.0709 0.6713 0.5632 0.7332 0.6038 0.2575 0.0349 0.1799
#> [16,] 0.6172 0.8635 0.0288 0.6592 0.4770 0.4983 0.3330 0.3076 0.2876 0.2226
#> [17,] 0.8564 0.6790 0.0081 0.5587 0.4147 0.2946 0.2025 0.0688 0.1171 0.2157
#> [18,] 0.8555 0.9720 0.0152 0.9221 0.7502 0.7209 0.7757 0.6055 0.5021 0.4499
#> [19,] 0.7633 0.4434 0.0466 0.3822 0.4727 0.4007 0.3381 0.3172 0.2222 0.0733
#> [20,] 0.9085 0.8668 0.0214 0.8892 0.9065 0.8522 0.7204 0.6200 0.6253 0.6848
#> [21,] 0.7669 0.5081 0.0253 0.4620 0.5380 0.5375 0.3844 0.3601 0.7402 0.7761
#> [22,] 0.0876 0.1040 0.0262 0.1714 0.3264 0.4612 0.3939 0.5050 0.4833 0.3511
#> [23,] 0.4636 0.6409 0.0202 0.7405 0.8069 0.8420 1.0000 0.9536 0.6755 0.3905
#> [24,] 0.9134 0.6762 0.0121 0.4659 0.2895 0.2959 0.1746 0.2112 0.2569 0.2276
#> [25,] 0.2457 0.0716 0.0378 0.0613 0.1816 0.4493 0.5976 0.3785 0.2495 0.5771
#> [26,] 0.7317 0.4421 0.0325 0.3244 0.4161 0.4611 0.4031 0.3000 0.2459 0.1348
#> [27,] 0.0284 0.1008 0.0653 0.2636 0.2694 0.2930 0.2925 0.3998 0.3660 0.3172
#> [28,] 0.5014 0.3942 0.1636 0.4456 0.4072 0.0773 0.1423 0.0401 0.3597 0.6847
#> [29,] 0.9595 0.8722 0.0309 0.6862 0.4901 0.3280 0.3115 0.1969 0.1019 0.0317
#> [30,] 1.0000 0.7896 0.0488 0.5371 0.6472 0.6505 0.4959 0.2175 0.0990 0.0434
#> [31,] 0.0832 0.4019 0.0055 0.2344 0.1905 0.1235 0.1717 0.2351 0.2489 0.3649
#> [32,] 0.4492 0.4739 0.0058 0.6153 0.4929 0.3195 0.3735 0.3336 0.1052 0.0671
#> [33,] 0.9071 0.8545 0.0075 0.7293 0.6499 0.6071 0.5588 0.5967 0.6275 0.5459
#> [34,] 0.6090 0.5112 0.0386 0.4000 0.0482 0.1852 0.2186 0.1436 0.1757 0.1428
#> [35,] 0.2767 0.4423 0.0843 0.2028 0.3788 0.2947 0.1984 0.2341 0.1306 0.4182
#> [36,] 0.9745 0.8962 0.0298 0.7196 0.5462 0.3156 0.2525 0.1969 0.2189 0.1533
#> [37,] 0.5087 0.4817 0.0642 0.4530 0.4521 0.4532 0.5385 0.5308 0.5356 0.5271
#> [38,] 0.9812 0.9464 0.0267 0.8542 0.6457 0.3397 0.3828 0.3204 0.1331 0.0440
#> [39,] 0.9820 0.8179 0.0505 0.4848 0.3203 0.2775 0.2382 0.2911 0.1675 0.3156
#> [40,] 0.8080 0.6791 0.0428 0.3857 0.1307 0.2604 0.5121 0.7547 0.8537 0.8507
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.3356 0.4799 0.6147 0.0525 0.6246 0.4973 0.3492 0.2662 0.3137 0.4282
#> [2,] 0.3837 0.3514 0.2654 0.0445 0.1760 0.1599 0.0866 0.0590 0.0813 0.0492
#> [3,] 0.3704 0.3741 0.3839 0.0844 0.3494 0.4380 0.4265 0.2854 0.2808 0.2395
#> [4,] 0.3186 0.2871 0.2921 0.0108 0.2806 0.2682 0.2112 0.1513 0.1789 0.1850
#> [5,] 0.2043 0.1707 0.0407 0.0130 0.1286 0.1581 0.2191 0.1701 0.0971 0.2217
#> [6,] 0.4234 0.4372 0.4277 0.0618 0.4433 0.3700 0.3324 0.2564 0.2527 0.2137
#> [7,] 0.4027 0.2370 0.2685 0.0359 0.3662 0.3267 0.2200 0.2996 0.2205 0.1163
#> [8,] 0.7319 0.3509 0.0589 0.0824 0.2690 0.4200 0.3874 0.2440 0.2000 0.2307
#> [9,] 0.3087 0.3550 0.2545 0.0232 0.1432 0.5869 0.6431 0.5826 0.4286 0.4894
#> [10,] 0.2718 0.1953 0.1374 0.0062 0.3105 0.3790 0.4105 0.3355 0.2998 0.2748
#> [11,] 0.5715 0.5242 0.2924 0.0278 0.1536 0.2003 0.2031 0.2207 0.1778 0.1353
#> [12,] 0.0947 0.2287 0.3480 0.0228 0.2095 0.1901 0.2941 0.2211 0.1524 0.0746
#> [13,] 0.3248 0.2302 0.3250 0.1036 0.4022 0.4344 0.4008 0.3370 0.2518 0.2101
#> [14,] 0.1546 0.1748 0.3607 0.0487 0.5208 0.5177 0.3702 0.2240 0.0816 0.0395
#> [15,] 0.3039 0.4760 0.5756 0.0108 0.4254 0.5046 0.7179 0.6163 0.5663 0.5749
#> [16,] 0.0794 0.0603 0.1049 0.0394 0.0606 0.1530 0.0983 0.1643 0.1901 0.1107
#> [17,] 0.2216 0.2776 0.2309 0.0230 0.1444 0.1513 0.1745 0.1756 0.1424 0.0908
#> [18,] 0.3947 0.4281 0.4427 0.0336 0.3749 0.1972 0.0511 0.0793 0.1269 0.1533
#> [19,] 0.2692 0.1888 0.0712 0.0440 0.1062 0.0694 0.0300 0.0893 0.1459 0.1348
#> [20,] 0.7337 0.6281 0.5725 0.0227 0.6119 0.5597 0.4965 0.5027 0.5772 0.5907
#> [21,] 0.3858 0.0667 0.3684 0.0489 0.6114 0.3510 0.2312 0.2195 0.3051 0.1937
#> [22,] 0.2319 0.4029 0.3676 0.0386 0.1510 0.0745 0.1395 0.1552 0.0377 0.0636
#> [23,] 0.1249 0.3629 0.6356 0.0386 0.8116 0.7664 0.5417 0.2614 0.1723 0.2814
#> [24,] 0.2149 0.1601 0.0371 0.0378 0.0117 0.0488 0.0288 0.0597 0.0431 0.0369
#> [25,] 0.8852 0.8409 0.3570 0.0774 0.3133 0.6096 0.6378 0.2709 0.1419 0.1260
#> [26,] 0.2541 0.2255 0.1598 0.0239 0.1485 0.0845 0.0569 0.0855 0.1262 0.1153
#> [27,] 0.4609 0.4374 0.1820 0.0521 0.3376 0.6202 0.4448 0.1863 0.1420 0.0589
#> [28,] 0.7076 0.3597 0.0612 0.1421 0.3027 0.3966 0.3868 0.2380 0.2059 0.2288
#> [29,] 0.0756 0.0907 0.1066 0.0375 0.1380 0.0665 0.1475 0.2470 0.2788 0.2709
#> [30,] 0.1708 0.1979 0.1880 0.0848 0.1108 0.1702 0.0585 0.0638 0.1391 0.0638
#> [31,] 0.3382 0.1589 0.0989 0.0250 0.1089 0.1043 0.0839 0.1391 0.0819 0.0678
#> [32,] 0.0379 0.0461 0.1694 0.0460 0.2169 0.1677 0.0644 0.0159 0.0778 0.0653
#> [33,] 0.4786 0.3965 0.2087 0.0097 0.1651 0.1836 0.0652 0.0758 0.0486 0.0353
#> [34,] 0.1644 0.3089 0.3648 0.0627 0.4441 0.3859 0.2813 0.1238 0.0953 0.1201
#> [35,] 0.3835 0.1057 0.1840 0.0689 0.1970 0.1674 0.0583 0.1401 0.1628 0.0621
#> [36,] 0.0711 0.1498 0.1755 0.0210 0.2276 0.1322 0.1056 0.1973 0.1692 0.1881
#> [37,] 0.4260 0.2436 0.1205 0.0452 0.3845 0.4107 0.5067 0.4216 0.2479 0.1586
#> [38,] 0.1234 0.2030 0.1652 0.0257 0.1043 0.1066 0.2110 0.2417 0.1631 0.0769
#> [39,] 0.1869 0.3391 0.5993 0.0707 0.4124 0.1181 0.3651 0.4655 0.4777 0.3517
#> [40,] 0.6692 0.6097 0.4943 0.0207 0.2744 0.0510 0.2834 0.2825 0.4256 0.2641
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.4262 0.3511 0.2458 0.1259 0.0489 0.0327 0.0181 0.0217 0.0038 0.0019
#> [2,] 0.0417 0.0495 0.0367 0.0115 0.0427 0.0118 0.0133 0.0096 0.0014 0.0049
#> [3,] 0.0369 0.0805 0.0541 0.0177 0.0419 0.0065 0.0222 0.0045 0.0136 0.0113
#> [4,] 0.1717 0.0898 0.0656 0.0445 0.0215 0.0110 0.0024 0.0062 0.0072 0.0113
#> [5,] 0.2732 0.1874 0.1062 0.0665 0.0183 0.0405 0.0113 0.0028 0.0036 0.0105
#> [6,] 0.1789 0.1010 0.0528 0.0453 0.1215 0.0118 0.0009 0.0142 0.0179 0.0079
#> [7,] 0.0635 0.0465 0.0422 0.0174 0.0681 0.0172 0.0134 0.0141 0.0191 0.0145
#> [8,] 0.1886 0.1960 0.1701 0.1366 0.0249 0.0398 0.0143 0.0093 0.0033 0.0113
#> [9,] 0.5777 0.4315 0.2640 0.1794 0.0646 0.0772 0.0798 0.0376 0.0143 0.0272
#> [10,] 0.2024 0.1043 0.0453 0.0337 0.0133 0.0122 0.0072 0.0108 0.0070 0.0063
#> [11,] 0.1373 0.0749 0.0472 0.0325 0.0412 0.0179 0.0045 0.0084 0.0010 0.0018
#> [12,] 0.0606 0.0692 0.0446 0.0344 0.0434 0.0082 0.0108 0.0149 0.0077 0.0036
#> [13,] 0.1181 0.1150 0.0550 0.0293 0.1675 0.0183 0.0104 0.0117 0.0101 0.0061
#> [14,] 0.0785 0.1052 0.1034 0.0764 0.0519 0.0216 0.0167 0.0089 0.0051 0.0015
#> [15,] 0.3593 0.2526 0.2299 0.1271 0.1070 0.0356 0.0367 0.0176 0.0035 0.0093
#> [16,] 0.1917 0.1467 0.0392 0.0356 0.0630 0.0270 0.0168 0.0102 0.0122 0.0044
#> [17,] 0.0138 0.0469 0.0480 0.0159 0.0586 0.0045 0.0015 0.0052 0.0038 0.0079
#> [18,] 0.0690 0.0402 0.0534 0.0228 0.0310 0.0073 0.0062 0.0062 0.0120 0.0052
#> [19,] 0.0391 0.0546 0.0469 0.0201 0.0657 0.0095 0.0155 0.0091 0.0151 0.0080
#> [20,] 0.4803 0.3877 0.2779 0.1427 0.0456 0.0424 0.0271 0.0200 0.0070 0.0070
#> [21,] 0.1570 0.0479 0.0538 0.0146 0.1197 0.0068 0.0187 0.0059 0.0095 0.0194
#> [22,] 0.0443 0.0264 0.0223 0.0187 0.0645 0.0077 0.0137 0.0071 0.0082 0.0232
#> [23,] 0.2764 0.1985 0.1502 0.1219 0.0752 0.0493 0.0027 0.0077 0.0026 0.0031
#> [24,] 0.0025 0.0327 0.0257 0.0182 0.0679 0.0108 0.0124 0.0077 0.0023 0.0117
#> [25,] 0.1288 0.0790 0.0829 0.0520 0.1388 0.0216 0.0360 0.0331 0.0131 0.0120
#> [26,] 0.0570 0.0426 0.0425 0.0235 0.0807 0.0006 0.0188 0.0127 0.0081 0.0067
#> [27,] 0.0576 0.0672 0.0269 0.0245 0.0611 0.0190 0.0063 0.0321 0.0189 0.0137
#> [28,] 0.1704 0.1587 0.1792 0.1022 0.1130 0.0151 0.0223 0.0110 0.0071 0.0205
#> [29,] 0.2283 0.1818 0.1185 0.0546 0.0767 0.0219 0.0204 0.0124 0.0093 0.0072
#> [30,] 0.0581 0.0641 0.1044 0.0732 0.1127 0.0275 0.0146 0.0091 0.0045 0.0043
#> [31,] 0.0663 0.1202 0.0692 0.0152 0.0344 0.0266 0.0174 0.0176 0.0127 0.0088
#> [32,] 0.0210 0.0509 0.0387 0.0262 0.0752 0.0101 0.0161 0.0029 0.0078 0.0114
#> [33,] 0.0297 0.0241 0.0379 0.0119 0.0445 0.0073 0.0051 0.0034 0.0129 0.0100
#> [34,] 0.0825 0.0618 0.0141 0.0108 0.1158 0.0124 0.0104 0.0095 0.0151 0.0059
#> [35,] 0.0203 0.0530 0.0742 0.0409 0.1183 0.0061 0.0125 0.0084 0.0089 0.0048
#> [36,] 0.1177 0.0779 0.0495 0.0492 0.1409 0.0194 0.0250 0.0115 0.0190 0.0055
#> [37,] 0.1124 0.0651 0.0789 0.0325 0.0333 0.0070 0.0026 0.0093 0.0118 0.0112
#> [38,] 0.0723 0.0912 0.0812 0.0496 0.0410 0.0101 0.0089 0.0083 0.0080 0.0026
#> [39,] 0.0920 0.1227 0.1785 0.1085 0.1313 0.0300 0.0346 0.0167 0.0199 0.0145
#> [40,] 0.1386 0.1051 0.1343 0.0383 0.0954 0.0324 0.0232 0.0027 0.0065 0.0159
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0065 0.0132 0.0108 0.0050 0.0085 0.0385 0.0044 0.0611 0.1117 0.1237
#> [2,] 0.0039 0.0029 0.0078 0.0047 0.0021 0.0766 0.0011 0.1458 0.1430 0.1894
#> [3,] 0.0053 0.0165 0.0141 0.0077 0.0246 0.1215 0.0198 0.2002 0.1516 0.0818
#> [4,] 0.0012 0.0022 0.0025 0.0059 0.0039 0.0136 0.0048 0.0659 0.0954 0.0786
#> [5,] 0.0120 0.0087 0.0061 0.0061 0.0030 0.1019 0.0078 0.1054 0.1070 0.2302
#> [6,] 0.0060 0.0131 0.0089 0.0084 0.0113 0.1524 0.0049 0.1543 0.0391 0.0610
#> [7,] 0.0065 0.0129 0.0217 0.0087 0.0077 0.0706 0.0122 0.1020 0.0893 0.0381
#> [8,] 0.0030 0.0057 0.0090 0.0057 0.0068 0.0488 0.0024 0.1424 0.1972 0.1873
#> [9,] 0.0127 0.0166 0.0095 0.0225 0.0098 0.1124 0.0085 0.1787 0.2407 0.2682
#> [10,] 0.0030 0.0011 0.0007 0.0024 0.0057 0.0151 0.0044 0.0541 0.0210 0.0505
#> [11,] 0.0068 0.0039 0.0120 0.0132 0.0070 0.0757 0.0088 0.1026 0.1138 0.0794
#> [12,] 0.0114 0.0085 0.0101 0.0016 0.0028 0.1224 0.0014 0.1947 0.1661 0.1368
#> [13,] 0.0031 0.0099 0.0080 0.0107 0.0161 0.0418 0.0133 0.0723 0.0828 0.0494
#> [14,] 0.0075 0.0058 0.0016 0.0070 0.0074 0.0849 0.0038 0.0812 0.1833 0.2228
#> [15,] 0.0121 0.0075 0.0056 0.0021 0.0043 0.0973 0.0017 0.0961 0.1323 0.2462
#> [16,] 0.0075 0.0124 0.0099 0.0057 0.0032 0.0526 0.0019 0.0688 0.0633 0.0624
#> [17,] 0.0114 0.0050 0.0030 0.0064 0.0058 0.0682 0.0030 0.0993 0.0717 0.0576
#> [18,] 0.0056 0.0093 0.0042 0.0003 0.0053 0.0284 0.0036 0.0396 0.0272 0.0323
#> [19,] 0.0018 0.0078 0.0045 0.0026 0.0036 0.0742 0.0024 0.1380 0.1099 0.1384
#> [20,] 0.0086 0.0089 0.0074 0.0042 0.0055 0.0665 0.0021 0.0939 0.0972 0.2535
#> [21,] 0.0080 0.0152 0.0158 0.0053 0.0189 0.1589 0.0102 0.1392 0.0987 0.0955
#> [22,] 0.0198 0.0074 0.0035 0.0100 0.0048 0.0472 0.0019 0.1056 0.1388 0.0598
#> [23,] 0.0083 0.0020 0.0084 0.0108 0.0083 0.1444 0.0033 0.1487 0.1484 0.2442
#> [24,] 0.0053 0.0077 0.0076 0.0056 0.0055 0.0863 0.0039 0.1004 0.0664 0.0941
#> [25,] 0.0108 0.0024 0.0045 0.0037 0.0112 0.0809 0.0075 0.0568 0.0219 0.1037
#> [26,] 0.0043 0.0065 0.0049 0.0054 0.0073 0.1529 0.0054 0.1154 0.0608 0.1317
#> [27,] 0.0277 0.0152 0.0052 0.0121 0.0124 0.0577 0.0055 0.0665 0.0664 0.1460
#> [28,] 0.0164 0.0063 0.0078 0.0094 0.0110 0.1306 0.0068 0.2112 0.2268 0.2992
#> [29,] 0.0019 0.0027 0.0054 0.0017 0.0024 0.0787 0.0029 0.0662 0.1108 0.1777
#> [30,] 0.0043 0.0098 0.0054 0.0051 0.0065 0.1103 0.0103 0.1349 0.2337 0.3113
#> [31,] 0.0098 0.0019 0.0059 0.0058 0.0059 0.0546 0.0032 0.0528 0.0958 0.1009
#> [32,] 0.0083 0.0058 0.0003 0.0023 0.0026 0.0887 0.0027 0.1015 0.0494 0.0472
#> [33,] 0.0044 0.0057 0.0030 0.0035 0.0021 0.0906 0.0027 0.0889 0.0655 0.1624
#> [34,] 0.0015 0.0053 0.0016 0.0042 0.0053 0.1482 0.0074 0.2054 0.1605 0.2532
#> [35,] 0.0094 0.0191 0.0140 0.0049 0.0052 0.2583 0.0044 0.2156 0.3481 0.3337
#> [36,] 0.0096 0.0050 0.0066 0.0114 0.0073 0.1916 0.0033 0.1349 0.1613 0.1703
#> [37,] 0.0094 0.0140 0.0072 0.0022 0.0055 0.0690 0.0122 0.0901 0.1454 0.0740
#> [38,] 0.0079 0.0042 0.0071 0.0044 0.0022 0.0491 0.0014 0.1053 0.1690 0.2105
#> [39,] 0.0081 0.0045 0.0043 0.0027 0.0055 0.2103 0.0057 0.2263 0.2524 0.3595
#> [40,] 0.0072 0.0167 0.0180 0.0084 0.0090 0.0986 0.0032 0.1539 0.1601 0.3109
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.4527630 0.6325381 0.4338065 0.6809249 0.3489881 0.4226871 0.3709118
#> [2,] 0.5631363 0.7804026 0.6777983 0.8052868 0.4350842 0.5610318 0.4103958
#> [3,] 0.5176103 0.7929414 0.6067458 0.7971967 0.3517488 0.5142048 0.3069467
#> [4,] 0.6453297 0.7836249 0.6978235 0.8032379 0.5420943 0.5502405 0.5595162
#> [5,] 0.5500062 0.7939889 0.6343081 0.8100242 0.3917931 0.5411812 0.3314191
#> [6,] 0.5346852 0.7905769 0.6125420 0.8012130 0.3650941 0.5235399 0.3314537
#> [7,] 0.6175197 0.7622301 0.6149873 0.8221573 0.4899943 0.5334914 0.5029310
#> [8,] 0.5501084 0.7622744 0.6178943 0.7958857 0.3936559 0.4637435 0.3646476
#> [9,] 0.4207835 0.6687564 0.4271229 0.6869002 0.2776493 0.3814287 0.3112039
#> [10,] 0.6231763 0.7708013 0.5910674 0.8217061 0.4970315 0.5242036 0.5376337
#> [11,] 0.6181692 0.7908425 0.6091078 0.8297713 0.4678112 0.5265073 0.4629675
#> [12,] 0.6034500 0.7490348 0.6216664 0.7771533 0.4770676 0.5195942 0.4987718
#> [13,] 0.6139979 0.8252722 0.6832784 0.8350778 0.4307883 0.5699672 0.4397081
#> [14,] 0.5543254 0.8008891 0.6186084 0.8233013 0.4027436 0.5236819 0.3854079
#> [15,] 0.4615792 0.7375105 0.4903342 0.7359834 0.2923378 0.4143237 0.3424652
#> [16,] 0.5996068 0.7797240 0.6800868 0.8103608 0.4702898 0.5193901 0.4491294
#> [17,] 0.6671053 0.8176865 0.7198604 0.8271776 0.5451521 0.5777851 0.5645284
#> [18,] 0.6353019 0.7409491 0.6002955 0.8021043 0.5341312 0.5343285 0.5459719
#> [19,] 0.6645442 0.8603839 0.7565781 0.8648561 0.4878456 0.6208051 0.4551762
#> [20,] 0.4480472 0.6690821 0.3774796 0.7081841 0.3196567 0.3632408 0.3447972
#> [21,] 0.5544778 0.7423617 0.5363347 0.7662181 0.4138399 0.4885213 0.4145609
#> [22,] 0.4777947 0.7585709 0.5734128 0.7735172 0.3267787 0.5296052 0.2433417
#> [23,] 0.4489007 0.7284008 0.4884201 0.7650282 0.2994817 0.4430957 0.2915238
#> [24,] 0.6983066 0.8557812 0.7690898 0.8666011 0.5349366 0.6319108 0.5173890
#> [25,] 0.5057704 0.7534227 0.5543436 0.7763686 0.3269488 0.4616660 0.3094006
#> [26,] 0.6614220 0.8579472 0.7510695 0.8606358 0.4816275 0.6129074 0.4511105
#> [27,] 0.4454087 0.7310967 0.5283850 0.7504931 0.2845166 0.4758824 0.2300437
#> [28,] 0.5018349 0.7453954 0.5871870 0.7642205 0.3471329 0.4310325 0.3129451
#> [29,] 0.6232676 0.8131166 0.6960398 0.8155287 0.4958559 0.5550373 0.5235021
#> [30,] 0.5954528 0.7631154 0.6552123 0.7871814 0.4833392 0.4811606 0.4939391
#> [31,] 0.6047584 0.8053297 0.7185627 0.8217749 0.4779376 0.5988579 0.4509823
#> [32,] 0.6482825 0.8339603 0.7524733 0.8453774 0.5192245 0.6150037 0.4891851
#> [33,] 0.6918271 0.8166283 0.7068120 0.8574834 0.5645758 0.5790369 0.5792919
#> [34,] 0.5822888 0.7838109 0.6405341 0.7751056 0.4525701 0.5207015 0.4323053
#> [35,] 0.4174159 0.7031585 0.4987360 0.7090773 0.2780388 0.4538477 0.2024895
#> [36,] 0.6351935 0.8292148 0.7149056 0.8364487 0.4818737 0.5709472 0.4752652
#> [37,] 0.5928788 0.7879848 0.6381730 0.8081163 0.4605642 0.5204025 0.4815240
#> [38,] 0.6374914 0.7977509 0.6876893 0.8150515 0.5230956 0.5447261 0.5457226
#> [39,] 0.4653957 0.7747553 0.5373816 0.7571920 0.3157540 0.4616005 0.3250785
#> [40,] 0.5401111 0.7463922 0.5084912 0.7746724 0.3964964 0.5098791 0.3957403
#> [,8] [,9] [,10]
#> [1,] 0.3836165 0.5231428 0.7743990
#> [2,] 0.4663163 0.7368283 0.8665003
#> [3,] 0.3761118 0.7118253 0.8818348
#> [4,] 0.5101026 0.7330316 0.8759863
#> [5,] 0.4635104 0.7309181 0.8998393
#> [6,] 0.3738533 0.7056512 0.8849489
#> [7,] 0.4571653 0.6813045 0.9043960
#> [8,] 0.3633856 0.6611795 0.8729932
#> [9,] 0.3284752 0.5140444 0.7947034
#> [10,] 0.4956977 0.6653270 0.9056534
#> [11,] 0.4618255 0.6903789 0.9106152
#> [12,] 0.5083204 0.6746234 0.8599303
#> [13,] 0.4616806 0.7673972 0.9175425
#> [14,] 0.4278357 0.7262004 0.9055107
#> [15,] 0.3542610 0.5828596 0.8420887
#> [16,] 0.4803670 0.7259535 0.8845572
#> [17,] 0.5490388 0.7722138 0.9053837
#> [18,] 0.5136250 0.6649784 0.8845055
#> [19,] 0.5365822 0.8258301 0.9370307
#> [20,] 0.2983748 0.4582004 0.8068724
#> [21,] 0.4102718 0.6484704 0.8607949
#> [22,] 0.3810656 0.6989232 0.8448369
#> [23,] 0.3503919 0.6278745 0.8666186
#> [24,] 0.5766109 0.8282189 0.9382141
#> [25,] 0.3226859 0.6149018 0.8513258
#> [26,] 0.5284803 0.8204182 0.9344087
#> [27,] 0.3530710 0.6553287 0.8241844
#> [28,] 0.3271090 0.6288786 0.8516697
#> [29,] 0.5351567 0.7589459 0.9021565
#> [30,] 0.4941482 0.7049466 0.8656558
#> [31,] 0.4910264 0.7711825 0.8863132
#> [32,] 0.5536657 0.8145412 0.9193528
#> [33,] 0.5374263 0.7536280 0.9299164
#> [34,] 0.4755514 0.7293321 0.8648066
#> [35,] 0.3434978 0.6134755 0.7733185
#> [36,] 0.5209585 0.7871074 0.9225908
#> [37,] 0.4256258 0.7006241 0.8855552
#> [38,] 0.5432924 0.7366860 0.8974589
#> [39,] 0.3845748 0.6623828 0.8606339
#> [40,] 0.3792013 0.6044187 0.8660634
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.6199252 0.3800748
#> [2,] 0.6314621 0.3685379
#> [3,] 0.6320482 0.3679518
#> [4,] 0.6296630 0.3703370
#> [5,] 0.6327597 0.3672403
#> [6,] 0.6320622 0.3679378
#> [7,] 0.6305276 0.3694724
#> [8,] 0.6303445 0.3696555
#> [9,] 0.6224175 0.3775825
#> [10,] 0.6303320 0.3696680
#> [11,] 0.6317666 0.3682334
#> [12,] 0.6279778 0.3720222
#> [13,] 0.6346686 0.3653314
#> [14,] 0.6330418 0.3669582
#> [15,] 0.6273279 0.3726721
#> [16,] 0.6311630 0.3688370
#> [17,] 0.6322460 0.3677540
#> [18,] 0.6279060 0.3720940
#> [19,] 0.6368722 0.3631278
#> [20,] 0.6217825 0.3782175
#> [21,] 0.6272479 0.3727521
#> [22,] 0.6298403 0.3701597
#> [23,] 0.6287323 0.3712677
#> [24,] 0.6362010 0.3637990
#> [25,] 0.6294512 0.3705488
#> [26,] 0.6366173 0.3633827
#> [27,] 0.6281337 0.3718663
#> [28,] 0.6287111 0.3712889
#> [29,] 0.6323194 0.3676806
#> [30,] 0.6288929 0.3711071
#> [31,] 0.6327388 0.3672612
#> [32,] 0.6346184 0.3653816
#> [33,] 0.6333494 0.3666506
#> [34,] 0.6291743 0.3708257
#> [35,] 0.6244709 0.3755291
#> [36,] 0.6343446 0.3656554
#> [37,] 0.6308179 0.3691821
#> [38,] 0.6312123 0.3687877
#> [39,] 0.6295118 0.3704882
#> [40,] 0.6277816 0.3722184
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.18951328 0.5431206 -0.266337240 0.7580257 -0.62349025 -0.31175204
#> [2,] 0.25390038 1.2680140 0.743672218 1.4196709 -0.26113694 0.24535062
#> [3,] 0.07047044 1.3427477 0.433653507 1.3688647 -0.61136107 0.05683431
#> [4,] 0.59857294 1.2869172 0.836954953 1.4066556 0.16877660 0.20164247
#> [5,] 0.20069571 1.3491396 0.550743672 1.4501676 -0.43978111 0.16509870
#> [6,] 0.13896409 1.3284064 0.458009911 1.3938929 -0.55332184 0.09422937
#> [7,] 0.47903380 1.1649453 0.468325397 1.5310325 -0.04002800 0.13416652
#> [8,] 0.20110875 1.1651894 0.480620095 1.3607757 -0.43197053 -0.14528107
#> [9,] -0.31955794 0.7025660 -0.293599512 0.7856668 -0.95615219 -0.48348869
#> [10,] 0.50305214 1.2128415 0.368379532 1.5279496 -0.01187422 0.09688995
#> [11,] 0.48178478 1.3300115 0.443563479 1.5840075 -0.12893335 0.10612863
#> [12,] 0.41986108 1.0934711 0.496627089 1.2491534 -0.09179413 0.07841679
#> [13,] 0.46414852 1.5524840 0.768879081 1.6220507 -0.27863554 0.28171731
#> [14,] 0.21816295 1.3918606 0.483645627 1.5388761 -0.39404623 0.09479869
#> [15,] -0.15398677 1.0330691 -0.038668153 1.0251956 -0.88405684 -0.34611950
#> [16,] 0.40382685 1.2640585 0.754170709 1.4523564 -0.11898113 0.07759924
#> [17,] 0.69512182 1.5007514 0.943769383 1.5657553 0.18110189 0.31368753
#> [18,] 0.55503041 1.0509074 0.406696398 1.3994986 0.13673760 0.13753039
#> [19,] 0.68361139 1.8184822 1.134009591 1.8562233 -0.04862698 0.49296698
#> [20,] -0.20856398 0.7040363 -0.500259706 0.8865809 -0.75534978 -0.56132555
#> [21,] 0.21877985 1.0582800 0.145595441 1.1870783 -0.34811389 -0.04592305
#> [22,] -0.08887964 1.1448606 0.295789146 1.2282788 -0.72279108 0.11855929
#> [23,] -0.20511330 0.9865240 -0.046327744 1.1804470 -0.84976728 -0.22860764
#> [24,] 0.83924681 1.7806831 1.203178663 1.8712345 0.13997439 0.54042285
#> [25,] 0.02308275 1.1169509 0.218236595 1.2446283 -0.72201782 -0.15363744
#> [26,] 0.66963746 1.7983439 1.104324278 1.8205808 -0.07352322 0.45955013
#> [27,] -0.21923901 1.0001938 0.113662050 1.1012438 -0.92216689 -0.09654538
#> [28,] 0.00733976 1.0742028 0.352348435 1.1759593 -0.63166604 -0.27763996
#> [29,] 0.50344078 1.4703898 0.828509993 1.4863424 -0.01657684 0.22104506
#> [30,] 0.38655391 1.1698364 0.642030429 1.3080183 -0.06666785 -0.07539331
#> [31,] 0.42533166 1.4199444 0.937343213 1.5284192 -0.08830703 0.40070866
#> [32,] 0.61149819 1.6139592 1.111847131 1.6987956 0.07693575 0.46839442
#> [33,] 0.80867496 1.4936686 0.879950789 1.7945435 0.25975382 0.31882087
#> [34,] 0.33217638 1.2880142 0.577682869 1.2373682 -0.19029178 0.08285353
#> [35,] -0.33339066 0.8623842 -0.005056049 0.8909071 -0.95421072 -0.18513604
#> [36,] 0.55456246 1.5800724 0.919330299 1.6320385 -0.07253714 0.28571685
#> [37,] 0.37587900 1.3128205 0.567443113 1.4378168 -0.15807154 0.08165515
#> [38,] 0.56449256 1.3722963 0.789338650 1.4831736 0.09244826 0.17938385
#> [39,] -0.13863885 1.2353599 0.149805735 1.1373457 -0.77335396 -0.15390108
#> [40,] 0.16078994 1.0794621 0.033968256 1.2348850 -0.42008498 0.03952138
#> [,7] [,8] [,9] [,10]
#> [1,] -0.528307381 -0.47422593 0.09263731 1.233319
#> [2,] -0.362329335 -0.13493913 1.02954840 1.870364
#> [3,] -0.814432991 -0.50608495 0.90426543 2.009921
#> [4,] 0.239198795 0.04041602 1.01005874 1.954958
#> [5,] -0.701773567 -0.14621825 0.99928544 2.195441
#> [6,] -0.701617396 -0.51572111 0.87435572 2.040154
#> [7,] 0.011723947 -0.17175967 0.75977345 2.247052
#> [8,] -0.555248527 -0.56069948 0.66855504 1.927687
#> [9,] -0.794497158 -0.71508971 0.05619221 1.353513
#> [10,] 0.150820135 -0.01720967 0.68712477 2.261682
#> [11,] -0.148401575 -0.15299590 0.80189109 2.321170
#> [12,] -0.004912627 0.03328474 0.72917127 1.814711
#> [13,] -0.242346600 -0.15357871 1.19367212 2.409416
#> [14,] -0.466656562 -0.29068688 0.97542954 2.260012
#> [15,] -0.652327448 -0.60036142 0.33452338 1.673852
#> [16,] -0.204188904 -0.07857232 0.97418797 2.036312
#> [17,] 0.259561077 0.19678773 1.22085411 2.258529
#> [18,] 0.184408457 0.05451368 0.68555957 2.035806
#> [19,] -0.179777917 0.14659072 1.55635780 2.700069
#> [20,] -0.641988223 -0.85504914 -0.16758936 1.429815
#> [21,] -0.345142337 -0.36284171 0.61232234 1.821908
#> [22,] -1.134445162 -0.48502761 0.84217562 1.694667
#> [23,] -0.887995032 -0.61731715 0.52310906 1.871386
#> [24,] 0.069584181 0.30887615 1.57305654 2.720303
#> [25,] -0.802923195 -0.74145564 0.46796417 1.745038
#> [26,] -0.196184658 0.11404472 1.51918322 2.656471
#> [27,] -1.208064745 -0.60556734 0.64254583 1.544959
#> [28,] -0.786386448 -0.72128970 0.52740902 1.747757
#> [29,] 0.094077613 0.14085933 1.14690904 2.221419
#> [30,] -0.024244913 -0.02340813 0.87096590 1.863082
#> [31,] -0.196702788 -0.03589822 1.21500052 2.053623
#> [32,] -0.043266465 0.21549300 1.47979231 2.433585
#> [33,] 0.319867385 0.14998569 1.11805651 2.585406
#> [34,] -0.272451758 -0.09787230 0.99123637 1.855800
#> [35,] -1.370806859 -0.64774545 0.46194501 1.227145
#> [36,] -0.099019945 0.08388304 1.30757682 2.478080
#> [37,] -0.073937696 -0.29972046 0.85027131 2.046122
#> [38,] 0.183402964 0.17360443 1.02881440 2.169304
#> [39,] -0.730529539 -0.47017523 0.67393094 1.820565
#> [40,] -0.423245765 -0.49293971 0.42391076 1.866592
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.2210186 -0.2682120
#> [2,] 0.2332112 -0.3052831
#> [3,] 0.2292233 -0.3117905
#> [4,] 0.2306448 -0.3001265
#> [5,] 0.2345389 -0.3095356
#> [6,] 0.2286621 -0.3124120
#> [7,] 0.2303866 -0.3040943
#> [8,] 0.2326318 -0.3010631
#> [9,] 0.2253635 -0.2744586
#> [10,] 0.2321012 -0.3015402
#> [11,] 0.2312751 -0.3085279
#> [12,] 0.2316017 -0.2919497
#> [13,] 0.2338761 -0.3184221
#> [14,] 0.2327303 -0.3125582
#> [15,] 0.2306051 -0.2901654
#> [16,] 0.2360133 -0.3011962
#> [17,] 0.2337355 -0.3081288
#> [18,] 0.2285529 -0.2946909
#> [19,] 0.2373949 -0.3244195
#> [20,] 0.2211680 -0.2759528
#> [21,] 0.2230206 -0.2974077
#> [22,] 0.2253087 -0.3062231
#> [23,] 0.2294199 -0.2973624
#> [24,] 0.2374450 -0.3214680
#> [25,] 0.2287198 -0.3011435
#> [26,] 0.2370693 -0.3236429
#> [27,] 0.2265117 -0.2977068
#> [28,] 0.2314725 -0.2952189
#> [29,] 0.2361924 -0.3059877
#> [30,] 0.2354811 -0.2919891
#> [31,] 0.2322975 -0.3116870
#> [32,] 0.2361475 -0.3159342
#> [33,] 0.2346507 -0.3119621
#> [34,] 0.2280889 -0.3005873
#> [35,] 0.2217877 -0.2867810
#> [36,] 0.2368147 -0.3140864
#> [37,] 0.2295058 -0.3062212
#> [38,] 0.2359231 -0.3014980
#> [39,] 0.2297086 -0.3004142
#> [40,] 0.2211686 -0.3015431
#>
#>
#> $e
#> [,1] [,2]
#> [1,] 0.3800748 -0.3800748
#> [2,] 0.3685379 -0.3685379
#> [3,] 0.3679518 -0.3679518
#> [4,] -0.6296630 0.6296630
#> [5,] -0.6327597 0.6327597
#> [6,] 0.3679378 -0.3679378
#> [7,] -0.6305276 0.6305276
#> [8,] -0.6303445 0.6303445
#> [9,] 0.3775825 -0.3775825
#> [10,] -0.6303320 0.6303320
#> [11,] -0.6317666 0.6317666
#> [12,] -0.6279778 0.6279778
#> [13,] 0.3653314 -0.3653314
#> [14,] 0.3669582 -0.3669582
#> [15,] 0.3726721 -0.3726721
#> [16,] -0.6311630 0.6311630
#> [17,] -0.6322460 0.6322460
#> [18,] -0.6279060 0.6279060
#> [19,] -0.6368722 0.6368722
#> [20,] 0.3782175 -0.3782175
#> [21,] -0.6272479 0.6272479
#> [22,] 0.3701597 -0.3701597
#> [23,] 0.3712677 -0.3712677
#> [24,] -0.6362010 0.6362010
#> [25,] -0.6294512 0.6294512
#> [26,] -0.6366173 0.6366173
#> [27,] 0.3718663 -0.3718663
#> [28,] -0.6287111 0.6287111
#> [29,] 0.3676806 -0.3676806
#> [30,] 0.3711071 -0.3711071
#> [31,] -0.6327388 0.6327388
#> [32,] -0.6346184 0.6346184
#> [33,] -0.6333494 0.6333494
#> [34,] 0.3708257 -0.3708257
#> [35,] -0.6244709 0.6244709
#> [36,] 0.3656554 -0.3656554
#> [37,] -0.6308179 0.6308179
#> [38,] 0.3687877 -0.3687877
#> [39,] 0.3704882 -0.3704882
#> [40,] -0.6277816 0.6277816
#>
#> $L
#> [1] 0.6973281 0.6981394 0.6889824 0.7085042 0.7398393 0.7568988
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.5362319