##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.23-bioc/R/site-library --timings HPiP_1.18.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.23-bioc/meat/HPiP.Rcheck’
* using R version 4.6.0 RC (2026-04-17 r89917)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
    GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
* running under: Ubuntu 24.04.4 LTS
* using session charset: UTF-8
* current time: 2026-05-01 05:02:24 UTC
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.18.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘HPiP’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... NOTE
checkRd: (-1) getHPI.Rd:29: Lost braces
    29 | then the Kronecker product is the code{(pm × qn)} block matrix
       |                                       ^
* checking Rd metadata ... OK
* checking Rd cross-references ... INFO
Package unavailable to check Rd xrefs: ‘ftrCOOL’
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking R/sysdata.rda ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                user system elapsed
corr_plot     36.562  0.397  36.973
FSmethod      33.715  0.516  34.236
var_imp       33.087  0.493  33.581
pred_ensembel 12.609  0.125  11.430
enrichfindP    0.533  0.038  11.776
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/home/biocbuild/bbs-3.23-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.23-bioc/R/site-library’
* installing *source* package ‘HPiP’ ...
** this is package ‘HPiP’ version ‘1.18.0’
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (HPiP)

R version 4.6.0 RC (2026-04-17 r89917) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> BiocGenerics:::testPackage('HPiP')
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1 

# weights:  103
initial  value 98.101740 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.144332 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.835812 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.745035 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 114.683729 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.840395 
final  value 94.466823 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.025961 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 113.777317 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 111.840753 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 102.324741 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.366509 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 111.518978 
iter  10 value 94.223210
iter  20 value 94.212697
final  value 94.212644 
converged
Fitting Repeat 3 

# weights:  507
initial  value 103.255945 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 100.321839 
final  value 94.466823 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.385901 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  103
initial  value 97.498048 
iter  10 value 94.489288
iter  20 value 94.488524
iter  30 value 94.349964
iter  40 value 85.472916
iter  50 value 84.565647
iter  60 value 84.022332
iter  70 value 82.980983
iter  80 value 82.451483
iter  90 value 82.425535
final  value 82.425432 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.331892 
iter  10 value 94.457280
iter  20 value 85.794872
iter  30 value 84.074240
iter  40 value 83.423845
iter  50 value 82.881282
final  value 82.877170 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.419711 
iter  10 value 94.278723
iter  20 value 85.438760
iter  30 value 84.796765
iter  40 value 84.718127
iter  50 value 83.560015
iter  60 value 82.677259
iter  70 value 82.297338
iter  80 value 81.132625
iter  90 value 80.749189
iter 100 value 80.694937
final  value 80.694937 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 100.129442 
iter  10 value 94.489094
iter  20 value 85.880206
iter  30 value 83.793183
iter  40 value 82.511280
iter  50 value 82.427213
final  value 82.425432 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.745045 
iter  10 value 94.643873
iter  20 value 94.341371
iter  30 value 85.182082
iter  40 value 84.200767
iter  50 value 83.666855
iter  60 value 82.939267
iter  70 value 82.877175
final  value 82.877172 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.574889 
iter  10 value 94.435913
iter  20 value 91.122055
iter  30 value 90.869836
iter  40 value 90.829857
iter  50 value 90.532360
iter  60 value 85.015524
iter  70 value 82.491790
iter  80 value 81.402552
iter  90 value 80.334101
iter 100 value 79.914716
final  value 79.914716 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 114.260375 
iter  10 value 94.471054
iter  20 value 86.992508
iter  30 value 83.938060
iter  40 value 83.453882
iter  50 value 83.186186
iter  60 value 82.375966
iter  70 value 81.142795
iter  80 value 80.881560
iter  90 value 79.719286
iter 100 value 79.526598
final  value 79.526598 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.454205 
iter  10 value 94.522758
iter  20 value 94.169626
iter  30 value 88.703058
iter  40 value 86.568326
iter  50 value 85.066033
iter  60 value 84.356901
iter  70 value 82.938138
iter  80 value 81.165890
iter  90 value 80.443416
iter 100 value 79.625410
final  value 79.625410 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.367136 
iter  10 value 94.527837
iter  20 value 93.439401
iter  30 value 91.910428
iter  40 value 91.315645
iter  50 value 90.161797
iter  60 value 88.599275
iter  70 value 85.778620
iter  80 value 84.440195
iter  90 value 83.711176
iter 100 value 83.143922
final  value 83.143922 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 104.276512 
iter  10 value 94.632065
iter  20 value 86.943705
iter  30 value 84.187145
iter  40 value 83.459613
iter  50 value 83.305436
iter  60 value 82.661178
iter  70 value 80.992377
iter  80 value 80.229699
iter  90 value 80.099769
iter 100 value 79.763846
final  value 79.763846 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 108.760008 
iter  10 value 92.892883
iter  20 value 90.778381
iter  30 value 89.829191
iter  40 value 87.546488
iter  50 value 82.531737
iter  60 value 80.965510
iter  70 value 80.301207
iter  80 value 80.053213
iter  90 value 79.943528
iter 100 value 79.850338
final  value 79.850338 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 114.160716 
iter  10 value 94.688560
iter  20 value 84.433878
iter  30 value 82.871148
iter  40 value 80.644381
iter  50 value 79.869533
iter  60 value 79.795286
iter  70 value 79.762722
iter  80 value 79.638832
iter  90 value 79.451222
iter 100 value 79.207260
final  value 79.207260 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 118.824223 
iter  10 value 95.491625
iter  20 value 87.093837
iter  30 value 83.766244
iter  40 value 83.082966
iter  50 value 80.433286
iter  60 value 79.329857
iter  70 value 79.193853
iter  80 value 79.065467
iter  90 value 78.945145
iter 100 value 78.905175
final  value 78.905175 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 114.038914 
iter  10 value 94.655008
iter  20 value 94.475092
iter  30 value 93.845659
iter  40 value 82.376004
iter  50 value 81.960915
iter  60 value 80.925212
iter  70 value 79.796205
iter  80 value 79.663916
iter  90 value 79.642477
iter 100 value 79.540443
final  value 79.540443 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.812705 
iter  10 value 96.220624
iter  20 value 85.913060
iter  30 value 82.083282
iter  40 value 81.906355
iter  50 value 81.494816
iter  60 value 81.029531
iter  70 value 80.409185
iter  80 value 79.982757
iter  90 value 79.473260
iter 100 value 79.222645
final  value 79.222645 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.869159 
final  value 94.485775 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.976485 
iter  10 value 94.468701
iter  20 value 94.466984
final  value 94.466913 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.626918 
iter  10 value 94.485768
iter  10 value 94.485767
iter  10 value 94.485767
final  value 94.485767 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.102998 
final  value 94.485811 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.065620 
final  value 94.485944 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.529893 
iter  10 value 94.488887
iter  20 value 94.461288
iter  30 value 91.978472
iter  40 value 91.978039
iter  40 value 91.978038
iter  50 value 91.977884
iter  60 value 91.966644
iter  70 value 91.941693
final  value 91.941492 
converged
Fitting Repeat 2 

# weights:  305
initial  value 98.958518 
iter  10 value 94.471570
iter  20 value 90.277151
iter  30 value 83.463450
iter  40 value 82.823783
iter  50 value 82.322798
final  value 82.041586 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.114703 
iter  10 value 91.126667
iter  20 value 91.078585
iter  30 value 90.998089
iter  40 value 82.991033
iter  50 value 81.524073
iter  60 value 81.520781
iter  70 value 81.196456
iter  80 value 80.873611
iter  90 value 80.516654
iter 100 value 80.312814
final  value 80.312814 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 99.648266 
iter  10 value 93.882835
iter  20 value 93.584048
iter  30 value 89.159543
iter  40 value 88.773885
iter  50 value 88.765251
iter  60 value 88.764551
iter  70 value 84.925379
iter  80 value 83.799116
iter  90 value 83.392715
iter 100 value 83.375368
final  value 83.375368 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 104.483695 
iter  10 value 91.552933
iter  20 value 84.235846
iter  30 value 83.871503
iter  40 value 83.279458
iter  50 value 83.245337
iter  60 value 81.426895
iter  70 value 81.089570
iter  80 value 81.089050
iter  90 value 81.060802
iter 100 value 81.009718
final  value 81.009718 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 102.059242 
iter  10 value 94.491937
iter  20 value 94.469724
iter  30 value 86.703636
iter  40 value 86.657064
iter  50 value 86.625185
final  value 86.624973 
converged
Fitting Repeat 2 

# weights:  507
initial  value 139.120216 
iter  10 value 94.492577
iter  20 value 94.484519
iter  30 value 94.394432
iter  40 value 89.925781
iter  50 value 86.699321
iter  60 value 86.694846
final  value 86.694747 
converged
Fitting Repeat 3 

# weights:  507
initial  value 112.014242 
iter  10 value 94.492734
iter  20 value 94.421884
iter  30 value 93.402005
iter  40 value 84.596860
iter  50 value 83.002722
iter  60 value 82.784573
iter  70 value 79.946623
iter  80 value 79.421655
iter  90 value 78.991855
iter 100 value 78.384077
final  value 78.384077 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.180985 
iter  10 value 94.334517
iter  20 value 91.820166
iter  30 value 90.609021
final  value 90.608983 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.984003 
iter  10 value 87.046111
iter  20 value 83.783732
iter  30 value 82.174585
iter  40 value 82.163576
iter  50 value 82.162845
iter  60 value 82.024089
iter  70 value 80.493252
iter  80 value 80.488204
iter  90 value 80.484735
iter 100 value 80.484439
final  value 80.484439 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 105.979677 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.138613 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.015036 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.372053 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 114.076553 
final  value 93.604520 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.961340 
iter  10 value 93.657386
iter  10 value 93.657386
iter  10 value 93.657386
final  value 93.657386 
converged
Fitting Repeat 2 

# weights:  305
initial  value 103.588391 
iter  10 value 92.263416
iter  20 value 91.171864
iter  30 value 90.872012
iter  40 value 90.827752
iter  50 value 90.827220
iter  50 value 90.827220
iter  50 value 90.827220
final  value 90.827220 
converged
Fitting Repeat 3 

# weights:  305
initial  value 113.017742 
final  value 94.032967 
converged
Fitting Repeat 4 

# weights:  305
initial  value 107.247927 
iter  10 value 94.052911
iter  10 value 94.052910
iter  10 value 94.052910
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.048612 
final  value 94.032967 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.930561 
iter  10 value 93.988117
final  value 93.988096 
converged
Fitting Repeat 2 

# weights:  507
initial  value 94.991325 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 101.749590 
final  value 94.032967 
converged
Fitting Repeat 4 

# weights:  507
initial  value 105.206368 
final  value 93.604520 
converged
Fitting Repeat 5 

# weights:  507
initial  value 96.255700 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.515794 
iter  10 value 93.822305
iter  20 value 93.699783
iter  30 value 90.622773
iter  40 value 89.663512
iter  50 value 86.846644
iter  60 value 85.828659
iter  70 value 84.104419
iter  80 value 84.041875
iter  90 value 82.796711
iter 100 value 82.473870
final  value 82.473870 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 101.761618 
iter  10 value 94.056673
iter  20 value 94.049944
iter  30 value 93.698602
iter  40 value 93.510262
iter  50 value 93.392805
iter  60 value 86.311119
iter  70 value 86.184517
iter  80 value 84.094891
iter  90 value 83.379050
iter 100 value 82.654138
final  value 82.654138 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 98.346216 
iter  10 value 94.005874
iter  20 value 86.033248
iter  30 value 85.145935
iter  40 value 84.591040
iter  50 value 83.100807
iter  60 value 82.984564
iter  70 value 82.946074
iter  80 value 82.944842
final  value 82.944828 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.021368 
iter  10 value 93.988928
iter  20 value 89.949329
iter  30 value 86.589446
iter  40 value 86.341538
iter  50 value 84.586829
iter  60 value 83.258804
iter  70 value 82.581105
iter  80 value 82.496515
final  value 82.491117 
converged
Fitting Repeat 5 

# weights:  103
initial  value 109.925561 
iter  10 value 97.192612
iter  20 value 94.060918
iter  30 value 89.693432
iter  40 value 87.378510
iter  50 value 83.577202
iter  60 value 83.220481
iter  70 value 82.877587
iter  80 value 82.769411
iter  90 value 82.767732
iter  90 value 82.767732
iter  90 value 82.767732
final  value 82.767732 
converged
Fitting Repeat 1 

# weights:  305
initial  value 105.890061 
iter  10 value 94.013635
iter  20 value 93.179989
iter  30 value 89.354610
iter  40 value 88.845364
iter  50 value 83.861889
iter  60 value 82.383403
iter  70 value 81.644459
iter  80 value 79.636737
iter  90 value 78.826323
iter 100 value 78.748634
final  value 78.748634 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 115.437940 
iter  10 value 94.054716
iter  20 value 91.495703
iter  30 value 89.896844
iter  40 value 84.671470
iter  50 value 82.270240
iter  60 value 81.886801
iter  70 value 81.363566
iter  80 value 80.260699
iter  90 value 79.746374
iter 100 value 79.372885
final  value 79.372885 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 124.436927 
iter  10 value 93.962171
iter  20 value 84.947856
iter  30 value 83.228092
iter  40 value 82.613694
iter  50 value 81.415308
iter  60 value 81.144559
iter  70 value 80.705093
iter  80 value 80.661517
iter  90 value 79.445297
iter 100 value 78.861726
final  value 78.861726 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 110.112040 
iter  10 value 93.514767
iter  20 value 86.004051
iter  30 value 84.947789
iter  40 value 83.355596
iter  50 value 82.888336
iter  60 value 82.648762
iter  70 value 82.629846
iter  80 value 82.177258
iter  90 value 80.515246
iter 100 value 79.574786
final  value 79.574786 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 103.895277 
iter  10 value 94.030265
iter  20 value 93.457294
iter  30 value 89.759891
iter  40 value 87.089654
iter  50 value 82.447069
iter  60 value 80.263851
iter  70 value 79.169186
iter  80 value 79.055087
iter  90 value 78.790428
iter 100 value 78.533848
final  value 78.533848 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 112.095036 
iter  10 value 94.152903
iter  20 value 92.715948
iter  30 value 89.381397
iter  40 value 85.213740
iter  50 value 83.441036
iter  60 value 80.114560
iter  70 value 79.349418
iter  80 value 79.115688
iter  90 value 78.857886
iter 100 value 78.619754
final  value 78.619754 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.475251 
iter  10 value 93.880328
iter  20 value 85.162355
iter  30 value 84.274993
iter  40 value 83.312958
iter  50 value 82.798177
iter  60 value 82.459264
iter  70 value 81.877859
iter  80 value 81.050492
iter  90 value 80.890110
iter 100 value 80.628288
final  value 80.628288 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 124.784363 
iter  10 value 94.222822
iter  20 value 85.591365
iter  30 value 84.196246
iter  40 value 81.561970
iter  50 value 79.870340
iter  60 value 79.573025
iter  70 value 79.289150
iter  80 value 79.055425
iter  90 value 78.910512
iter 100 value 78.778467
final  value 78.778467 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 108.634861 
iter  10 value 94.080368
iter  20 value 86.901960
iter  30 value 84.069563
iter  40 value 83.787790
iter  50 value 82.654152
iter  60 value 82.515167
iter  70 value 81.406395
iter  80 value 80.275836
iter  90 value 79.662876
iter 100 value 79.304406
final  value 79.304406 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.113119 
iter  10 value 94.235787
iter  20 value 93.827819
iter  30 value 92.704879
iter  40 value 91.375465
iter  50 value 85.721341
iter  60 value 83.230763
iter  70 value 82.697943
iter  80 value 79.528158
iter  90 value 79.074163
iter 100 value 78.636104
final  value 78.636104 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 94.769013 
final  value 94.055074 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.642089 
final  value 94.054526 
converged
Fitting Repeat 3 

# weights:  103
initial  value 110.986079 
iter  10 value 93.356504
iter  20 value 93.326347
iter  30 value 91.280827
iter  40 value 83.977649
iter  50 value 83.977519
iter  60 value 83.976438
final  value 83.976312 
converged
Fitting Repeat 4 

# weights:  103
initial  value 116.490830 
final  value 94.054654 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.115079 
final  value 94.054357 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.839062 
iter  10 value 94.057973
iter  20 value 94.025687
iter  30 value 84.584321
iter  40 value 83.976999
final  value 83.976424 
converged
Fitting Repeat 2 

# weights:  305
initial  value 106.745391 
iter  10 value 94.044296
iter  20 value 91.425115
iter  30 value 91.175814
iter  40 value 91.169683
iter  50 value 91.128092
iter  60 value 91.048527
iter  70 value 91.045656
final  value 91.044572 
converged
Fitting Repeat 3 

# weights:  305
initial  value 109.324605 
iter  10 value 94.037858
iter  20 value 92.785211
iter  30 value 83.758130
iter  40 value 82.492106
iter  50 value 82.490655
iter  60 value 82.487979
final  value 82.487832 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.251532 
iter  10 value 93.993357
iter  20 value 93.988135
iter  30 value 82.998723
iter  40 value 82.740072
iter  50 value 82.739240
iter  60 value 82.163217
iter  70 value 82.160764
iter  80 value 82.156559
iter  90 value 82.155901
final  value 82.155417 
converged
Fitting Repeat 5 

# weights:  305
initial  value 100.823054 
iter  10 value 89.344562
iter  20 value 82.560069
iter  30 value 82.451196
iter  40 value 82.370260
iter  50 value 82.364873
iter  60 value 82.364012
iter  70 value 82.334758
iter  80 value 82.302142
iter  90 value 81.942617
iter 100 value 81.645280
final  value 81.645280 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 94.241861 
iter  10 value 94.060020
iter  20 value 93.960857
iter  30 value 89.931793
iter  40 value 89.865933
iter  50 value 89.860917
iter  60 value 89.860768
iter  70 value 88.107882
iter  80 value 83.969021
iter  90 value 83.165967
iter 100 value 83.165082
final  value 83.165082 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.356424 
iter  10 value 94.041698
iter  20 value 94.004810
iter  30 value 93.524309
iter  40 value 91.502403
iter  50 value 82.534559
iter  60 value 81.819330
final  value 81.787192 
converged
Fitting Repeat 3 

# weights:  507
initial  value 106.010115 
iter  10 value 94.061359
iter  20 value 94.039013
iter  30 value 93.761837
iter  40 value 88.867802
iter  50 value 84.319876
iter  60 value 82.152015
iter  70 value 81.841532
iter  80 value 81.640169
iter  90 value 81.636938
iter 100 value 80.271899
final  value 80.271899 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 95.296479 
iter  10 value 89.939415
iter  20 value 85.957105
iter  30 value 85.868962
final  value 85.868388 
converged
Fitting Repeat 5 

# weights:  507
initial  value 102.327277 
iter  10 value 94.061324
iter  20 value 94.013647
iter  30 value 87.282035
iter  40 value 82.204980
iter  50 value 81.985491
final  value 81.936039 
converged
Fitting Repeat 1 

# weights:  103
initial  value 95.910581 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.417458 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 105.631749 
final  value 94.484137 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.644483 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 109.620045 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.013463 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 105.663409 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.355476 
final  value 94.088889 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.733258 
final  value 94.291892 
converged
Fitting Repeat 5 

# weights:  305
initial  value 111.186634 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 108.418665 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 104.015109 
iter  10 value 94.182692
final  value 94.147059 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.352888 
iter  10 value 94.465275
iter  20 value 94.076840
iter  30 value 94.055847
final  value 94.055814 
converged
Fitting Repeat 4 

# weights:  507
initial  value 132.180433 
final  value 94.291892 
converged
Fitting Repeat 5 

# weights:  507
initial  value 96.946678 
final  value 94.472272 
converged
Fitting Repeat 1 

# weights:  103
initial  value 108.681421 
iter  10 value 94.437228
iter  20 value 87.276619
iter  30 value 86.011537
iter  40 value 85.600934
iter  50 value 85.381548
iter  60 value 85.220572
final  value 85.219707 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.154409 
iter  10 value 94.488636
iter  20 value 89.415180
iter  30 value 87.307135
iter  40 value 86.570463
iter  50 value 86.285696
iter  60 value 85.978389
iter  70 value 85.901455
final  value 85.901412 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.764762 
iter  10 value 94.489692
iter  20 value 92.867472
iter  30 value 87.546276
iter  40 value 86.277232
iter  50 value 86.160003
iter  60 value 85.141662
iter  70 value 85.050322
iter  80 value 85.045523
iter  90 value 85.033139
final  value 85.032718 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.778338 
iter  10 value 94.586652
iter  20 value 94.485032
iter  30 value 93.993829
iter  40 value 91.136636
iter  50 value 89.376240
iter  60 value 86.979216
iter  70 value 85.810032
iter  80 value 84.717998
iter  90 value 84.272175
iter 100 value 83.819684
final  value 83.819684 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 104.502745 
iter  10 value 94.501787
iter  20 value 93.014248
iter  30 value 87.090139
iter  40 value 86.125009
iter  50 value 85.840842
iter  60 value 85.351053
iter  70 value 84.534629
iter  80 value 84.062589
iter  90 value 84.059020
iter 100 value 83.917774
final  value 83.917774 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 102.086666 
iter  10 value 94.380826
iter  20 value 88.984758
iter  30 value 87.260979
iter  40 value 86.653288
iter  50 value 86.613532
iter  60 value 85.473034
iter  70 value 85.324621
iter  80 value 85.065598
iter  90 value 84.543307
iter 100 value 82.843321
final  value 82.843321 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 105.130723 
iter  10 value 94.818489
iter  20 value 94.446694
iter  30 value 91.823280
iter  40 value 87.937485
iter  50 value 86.058327
iter  60 value 85.923550
iter  70 value 84.837223
iter  80 value 83.554261
iter  90 value 82.648489
iter 100 value 82.457999
final  value 82.457999 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 115.562289 
iter  10 value 94.622656
iter  20 value 90.780393
iter  30 value 88.633696
iter  40 value 85.687842
iter  50 value 84.289692
iter  60 value 83.429815
iter  70 value 83.346072
iter  80 value 83.202667
iter  90 value 83.067098
iter 100 value 82.914986
final  value 82.914986 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 116.986922 
iter  10 value 93.952964
iter  20 value 89.321581
iter  30 value 85.684112
iter  40 value 83.794084
iter  50 value 83.043045
iter  60 value 82.927604
iter  70 value 82.799181
iter  80 value 82.643241
iter  90 value 82.566667
iter 100 value 82.560369
final  value 82.560369 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 118.672078 
iter  10 value 96.421681
iter  20 value 89.587067
iter  30 value 86.369251
iter  40 value 86.222725
iter  50 value 86.111728
iter  60 value 85.891010
iter  70 value 85.351202
iter  80 value 85.071318
iter  90 value 84.829802
iter 100 value 83.771551
final  value 83.771551 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 118.013216 
iter  10 value 95.841714
iter  20 value 89.455827
iter  30 value 87.957694
iter  40 value 87.745858
iter  50 value 86.170620
iter  60 value 85.635554
iter  70 value 85.212847
iter  80 value 84.794096
iter  90 value 83.380213
iter 100 value 82.625578
final  value 82.625578 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.976806 
iter  10 value 94.659581
iter  20 value 94.244889
iter  30 value 94.027317
iter  40 value 93.226481
iter  50 value 91.008255
iter  60 value 86.220086
iter  70 value 84.562760
iter  80 value 83.484912
iter  90 value 83.412227
iter 100 value 83.028512
final  value 83.028512 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 146.074121 
iter  10 value 94.013298
iter  20 value 87.477051
iter  30 value 86.644139
iter  40 value 85.879368
iter  50 value 84.971016
iter  60 value 83.757002
iter  70 value 83.473411
iter  80 value 83.431592
iter  90 value 83.238362
iter 100 value 82.701452
final  value 82.701452 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 117.921624 
iter  10 value 95.059556
iter  20 value 93.785892
iter  30 value 87.276829
iter  40 value 86.289680
iter  50 value 85.068782
iter  60 value 84.283843
iter  70 value 84.059026
iter  80 value 83.410744
iter  90 value 82.499340
iter 100 value 82.152008
final  value 82.152008 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 104.563259 
iter  10 value 94.341080
iter  20 value 90.417849
iter  30 value 89.069108
iter  40 value 86.186473
iter  50 value 83.443361
iter  60 value 83.014427
iter  70 value 82.151509
iter  80 value 81.873841
iter  90 value 81.731173
iter 100 value 81.584323
final  value 81.584323 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 102.993188 
final  value 94.485877 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.777053 
final  value 94.485870 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.559389 
final  value 94.293455 
converged
Fitting Repeat 4 

# weights:  103
initial  value 105.343437 
final  value 94.485777 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.372141 
final  value 94.485961 
converged
Fitting Repeat 1 

# weights:  305
initial  value 108.823657 
iter  10 value 94.440274
iter  20 value 93.469767
iter  30 value 92.474097
iter  40 value 92.433560
iter  50 value 92.352595
iter  60 value 92.347181
iter  70 value 92.309326
iter  80 value 92.307479
iter  90 value 90.176758
iter 100 value 86.935853
final  value 86.935853 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 98.930081 
iter  10 value 94.488300
iter  20 value 89.448034
iter  30 value 88.385897
iter  40 value 88.328449
iter  50 value 88.327353
iter  60 value 87.850752
iter  70 value 85.216186
iter  80 value 83.375694
iter  90 value 83.209107
iter 100 value 82.550456
final  value 82.550456 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 116.937500 
iter  10 value 94.488979
iter  20 value 88.656994
iter  30 value 86.940904
iter  40 value 86.938855
iter  50 value 86.906611
iter  60 value 86.904444
iter  70 value 86.902504
final  value 86.901904 
converged
Fitting Repeat 4 

# weights:  305
initial  value 99.278978 
iter  10 value 94.488579
iter  20 value 91.411943
iter  30 value 88.338219
iter  40 value 88.331199
iter  50 value 88.327603
iter  60 value 88.327128
iter  70 value 87.711177
iter  80 value 86.690696
iter  90 value 86.649924
iter 100 value 86.398209
final  value 86.398209 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 96.255817 
iter  10 value 94.486533
iter  20 value 93.253204
iter  30 value 93.148609
iter  40 value 89.294454
iter  50 value 86.989950
iter  50 value 86.989950
iter  50 value 86.989950
final  value 86.989950 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.865037 
iter  10 value 94.451568
iter  20 value 94.448547
iter  30 value 86.355011
iter  40 value 85.630103
iter  50 value 85.548957
iter  60 value 82.720128
iter  70 value 82.561994
iter  80 value 81.867606
iter  90 value 81.706805
iter 100 value 81.705496
final  value 81.705496 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 102.981295 
iter  10 value 94.299851
iter  20 value 91.876047
iter  30 value 90.955873
iter  40 value 90.921735
iter  50 value 85.669458
iter  60 value 84.651581
iter  70 value 83.976960
iter  80 value 83.723871
iter  90 value 83.723609
iter 100 value 83.722500
final  value 83.722500 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.792156 
iter  10 value 94.491966
final  value 94.484665 
converged
Fitting Repeat 4 

# weights:  507
initial  value 97.271407 
iter  10 value 94.488601
iter  20 value 94.445214
iter  30 value 92.369105
iter  40 value 90.942586
iter  50 value 90.937377
iter  60 value 90.928190
iter  70 value 90.870517
iter  80 value 90.686734
iter  90 value 88.349093
iter 100 value 87.557492
final  value 87.557492 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 103.055442 
iter  10 value 94.300322
iter  20 value 93.809228
iter  30 value 91.360457
iter  40 value 86.259771
iter  50 value 85.261209
iter  60 value 85.102414
iter  70 value 84.952971
iter  80 value 84.863161
iter  90 value 84.862979
iter 100 value 84.862857
final  value 84.862857 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 101.630015 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.406673 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.401547 
final  value 92.892737 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.181571 
iter  10 value 92.945357
iter  10 value 92.945356
iter  10 value 92.945356
final  value 92.945356 
converged
Fitting Repeat 5 

# weights:  103
initial  value 104.213464 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 124.672238 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.658591 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 100.960396 
iter  10 value 93.822984
iter  20 value 93.108754
iter  30 value 92.856799
iter  40 value 92.730408
iter  50 value 92.726194
final  value 92.726191 
converged
Fitting Repeat 4 

# weights:  305
initial  value 106.826969 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.947690 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.770302 
iter  10 value 93.735442
final  value 93.735438 
converged
Fitting Repeat 2 

# weights:  507
initial  value 110.030868 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 104.495853 
iter  10 value 92.945358
final  value 92.945355 
converged
Fitting Repeat 4 

# weights:  507
initial  value 109.698360 
iter  10 value 94.055652
iter  20 value 93.496115
final  value 93.377029 
converged
Fitting Repeat 5 

# weights:  507
initial  value 96.914539 
final  value 92.945355 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.824968 
iter  10 value 92.956266
iter  20 value 87.538504
iter  30 value 85.476044
iter  40 value 84.707335
iter  50 value 84.469325
iter  60 value 84.332887
iter  70 value 84.238848
final  value 84.238845 
converged
Fitting Repeat 2 

# weights:  103
initial  value 106.429045 
iter  10 value 94.019441
iter  10 value 94.019440
iter  20 value 88.351132
iter  30 value 85.734953
iter  40 value 82.900591
iter  50 value 81.879951
iter  60 value 81.555595
iter  70 value 81.248693
iter  80 value 80.759638
iter  90 value 80.640578
iter 100 value 80.526036
final  value 80.526036 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.995453 
iter  10 value 92.012826
iter  20 value 83.731703
iter  30 value 83.285215
iter  40 value 83.020594
iter  50 value 82.999105
final  value 82.998556 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.685380 
iter  10 value 93.478621
iter  20 value 89.811001
iter  30 value 83.620877
iter  40 value 83.444348
iter  50 value 82.217798
iter  60 value 81.219927
iter  70 value 80.862912
iter  80 value 80.571946
iter  90 value 80.517470
iter 100 value 80.499954
final  value 80.499954 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 103.141841 
iter  10 value 93.668912
iter  20 value 93.080475
iter  30 value 93.020619
iter  40 value 92.625643
iter  50 value 84.025661
iter  60 value 82.196067
iter  70 value 81.544148
iter  80 value 81.494467
iter  90 value 81.312212
iter 100 value 81.112149
final  value 81.112149 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 106.680866 
iter  10 value 93.997951
iter  20 value 93.508138
iter  30 value 90.055908
iter  40 value 82.973878
iter  50 value 81.735354
iter  60 value 79.775699
iter  70 value 79.261691
iter  80 value 79.191465
iter  90 value 78.801452
iter 100 value 78.688446
final  value 78.688446 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 101.224653 
iter  10 value 93.797681
iter  20 value 86.653270
iter  30 value 85.853886
iter  40 value 84.098028
iter  50 value 83.378583
iter  60 value 83.229503
iter  70 value 82.552952
iter  80 value 80.594199
iter  90 value 79.990257
iter 100 value 79.741454
final  value 79.741454 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.890040 
iter  10 value 93.616304
iter  20 value 93.270171
iter  30 value 93.126691
iter  40 value 92.514799
iter  50 value 90.573251
iter  60 value 90.135584
iter  70 value 89.866400
iter  80 value 89.696921
iter  90 value 87.261901
iter 100 value 86.173650
final  value 86.173650 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 114.293987 
iter  10 value 92.473097
iter  20 value 88.076501
iter  30 value 82.586740
iter  40 value 82.017629
iter  50 value 81.524014
iter  60 value 81.306050
iter  70 value 80.726438
iter  80 value 79.704574
iter  90 value 79.027643
iter 100 value 78.716712
final  value 78.716712 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.084716 
iter  10 value 94.164636
iter  20 value 94.018156
iter  30 value 93.393616
iter  40 value 92.783565
iter  50 value 88.787742
iter  60 value 83.709484
iter  70 value 83.043548
iter  80 value 82.486083
iter  90 value 81.820974
iter 100 value 81.441922
final  value 81.441922 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 108.913827 
iter  10 value 96.756321
iter  20 value 94.159250
iter  30 value 93.911082
iter  40 value 87.304317
iter  50 value 84.636283
iter  60 value 82.433768
iter  70 value 81.198725
iter  80 value 80.473981
iter  90 value 79.635756
iter 100 value 79.378475
final  value 79.378475 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 133.723263 
iter  10 value 94.577453
iter  20 value 93.423770
iter  30 value 92.907453
iter  40 value 91.856721
iter  50 value 86.811925
iter  60 value 85.256906
iter  70 value 82.064385
iter  80 value 80.317690
iter  90 value 79.821590
iter 100 value 79.707240
final  value 79.707240 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 136.468564 
iter  10 value 93.995473
iter  20 value 91.239513
iter  30 value 86.034924
iter  40 value 83.661457
iter  50 value 82.578249
iter  60 value 81.495595
iter  70 value 81.047611
iter  80 value 80.083445
iter  90 value 79.527623
iter 100 value 79.450344
final  value 79.450344 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 102.691237 
iter  10 value 94.389593
iter  20 value 93.631964
iter  30 value 89.816910
iter  40 value 88.966164
iter  50 value 87.730333
iter  60 value 85.529446
iter  70 value 82.654487
iter  80 value 81.487420
iter  90 value 80.224683
iter 100 value 79.327564
final  value 79.327564 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 117.885988 
iter  10 value 94.557333
iter  20 value 86.315232
iter  30 value 84.742184
iter  40 value 80.787965
iter  50 value 80.108448
iter  60 value 80.022499
iter  70 value 79.500586
iter  80 value 79.009448
iter  90 value 78.626415
iter 100 value 78.369833
final  value 78.369833 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 100.571900 
final  value 93.227771 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.103173 
final  value 94.054486 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.739201 
final  value 94.054328 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.060430 
final  value 93.228033 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.300755 
final  value 94.054547 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.010443 
iter  10 value 94.057018
iter  20 value 93.592194
iter  30 value 84.891270
iter  40 value 84.400501
iter  50 value 84.201709
final  value 84.199113 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.199477 
iter  10 value 94.057746
iter  20 value 93.862834
iter  30 value 88.911444
iter  40 value 88.836488
iter  50 value 88.011431
iter  60 value 83.949229
iter  70 value 83.141933
iter  80 value 83.129724
iter  90 value 83.128660
final  value 83.128553 
converged
Fitting Repeat 3 

# weights:  305
initial  value 114.078805 
iter  10 value 94.057328
iter  20 value 94.031096
iter  30 value 92.481252
iter  40 value 82.927264
iter  50 value 82.080086
iter  60 value 82.004342
iter  70 value 81.957844
iter  80 value 81.427378
iter  90 value 81.365817
iter 100 value 81.351909
final  value 81.351909 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 97.829373 
iter  10 value 93.739872
iter  20 value 93.052606
iter  30 value 83.413180
iter  40 value 81.619703
iter  50 value 80.574472
final  value 80.557600 
converged
Fitting Repeat 5 

# weights:  305
initial  value 103.132762 
iter  10 value 94.057283
iter  20 value 93.866456
iter  30 value 84.915930
iter  40 value 84.841650
iter  50 value 84.841377
iter  60 value 84.383263
iter  70 value 84.382435
iter  80 value 84.011061
iter  90 value 83.554692
iter 100 value 82.633055
final  value 82.633055 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 96.132363 
iter  10 value 92.937947
iter  20 value 92.734728
iter  30 value 92.495813
iter  40 value 88.609428
iter  50 value 88.516921
iter  60 value 87.791878
iter  70 value 87.761870
iter  80 value 87.761293
iter  90 value 86.926775
iter 100 value 86.742775
final  value 86.742775 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 101.135218 
iter  10 value 90.900998
iter  20 value 90.667714
iter  30 value 87.697820
iter  40 value 86.753571
iter  50 value 86.749548
iter  60 value 86.748212
iter  70 value 86.547147
iter  80 value 83.413474
iter  90 value 82.490780
iter 100 value 80.374176
final  value 80.374176 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 96.483207 
iter  10 value 94.060363
iter  20 value 93.875811
iter  30 value 86.977057
iter  40 value 82.822516
iter  50 value 82.529256
iter  60 value 82.207415
iter  70 value 81.600373
iter  80 value 81.595908
iter  90 value 81.443486
iter 100 value 80.700367
final  value 80.700367 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 94.301830 
iter  10 value 92.475430
iter  20 value 92.461905
iter  30 value 92.457813
final  value 92.456381 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.775518 
iter  10 value 92.865974
iter  20 value 92.864240
iter  30 value 92.748954
iter  40 value 92.728908
iter  50 value 92.681184
iter  60 value 85.405590
iter  70 value 84.635635
iter  80 value 84.516749
iter  90 value 84.473035
final  value 84.472824 
converged
Fitting Repeat 1 

# weights:  103
initial  value 104.709328 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.366362 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.374067 
final  value 94.026542 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.323030 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.329840 
iter  10 value 87.871349
iter  20 value 81.835972
iter  30 value 81.686682
iter  40 value 81.653783
iter  50 value 81.652702
final  value 81.652697 
converged
Fitting Repeat 1 

# weights:  305
initial  value 99.473338 
final  value 94.026542 
converged
Fitting Repeat 2 

# weights:  305
initial  value 108.576366 
final  value 94.467391 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.778565 
final  value 94.026542 
converged
Fitting Repeat 4 

# weights:  305
initial  value 112.695576 
final  value 94.484209 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.731043 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.620646 
final  value 94.484137 
converged
Fitting Repeat 2 

# weights:  507
initial  value 109.451984 
iter  10 value 90.338874
iter  20 value 86.441912
final  value 86.439002 
converged
Fitting Repeat 3 

# weights:  507
initial  value 103.926947 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 112.314634 
iter  10 value 94.026542
iter  10 value 94.026542
iter  10 value 94.026542
final  value 94.026542 
converged
Fitting Repeat 5 

# weights:  507
initial  value 122.835841 
iter  10 value 94.433551
final  value 94.433544 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.645878 
iter  10 value 94.488059
iter  20 value 94.131414
iter  30 value 94.127450
iter  40 value 94.126744
iter  50 value 93.446994
iter  60 value 88.949663
iter  70 value 87.584201
iter  80 value 85.261040
iter  90 value 83.793562
iter 100 value 82.873046
final  value 82.873046 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 107.202135 
iter  10 value 94.329861
iter  20 value 85.561739
iter  30 value 84.715625
iter  40 value 83.628937
iter  50 value 82.923710
iter  60 value 82.656627
iter  70 value 82.511081
iter  80 value 82.464156
final  value 82.455053 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.305707 
iter  10 value 94.494715
iter  20 value 94.145344
iter  30 value 94.118184
iter  40 value 93.776075
iter  50 value 93.755813
iter  60 value 93.749882
iter  70 value 93.749235
iter  80 value 93.690530
iter  90 value 90.350276
iter 100 value 88.172518
final  value 88.172518 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 101.881824 
iter  10 value 94.482043
iter  20 value 91.105695
iter  30 value 87.117720
iter  40 value 85.525465
iter  50 value 84.766667
iter  60 value 84.449916
iter  70 value 82.912917
iter  80 value 82.192910
iter  90 value 82.022757
final  value 82.017287 
converged
Fitting Repeat 5 

# weights:  103
initial  value 120.370067 
iter  10 value 94.218592
iter  20 value 93.656477
iter  30 value 86.029082
iter  40 value 84.953467
iter  50 value 84.624652
iter  60 value 84.293836
iter  70 value 84.274110
final  value 84.274076 
converged
Fitting Repeat 1 

# weights:  305
initial  value 105.276791 
iter  10 value 94.146270
iter  20 value 93.721997
iter  30 value 93.011347
iter  40 value 88.800007
iter  50 value 86.108235
iter  60 value 85.049182
iter  70 value 83.881364
iter  80 value 83.747560
iter  90 value 83.113744
iter 100 value 82.341832
final  value 82.341832 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 110.973413 
iter  10 value 93.748471
iter  20 value 90.161738
iter  30 value 89.606604
iter  40 value 89.481373
iter  50 value 85.033251
iter  60 value 83.343745
iter  70 value 82.816022
iter  80 value 82.508028
iter  90 value 82.335517
iter 100 value 82.311142
final  value 82.311142 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 116.244569 
iter  10 value 94.502238
iter  20 value 93.159045
iter  30 value 86.042882
iter  40 value 84.859642
iter  50 value 84.458982
iter  60 value 84.027795
iter  70 value 83.909240
iter  80 value 83.473943
iter  90 value 82.364567
iter 100 value 81.890710
final  value 81.890710 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 99.979931 
iter  10 value 94.419122
iter  20 value 93.928413
iter  30 value 93.629107
iter  40 value 87.209433
iter  50 value 86.478134
iter  60 value 85.011573
iter  70 value 83.737432
iter  80 value 83.468351
iter  90 value 83.393411
iter 100 value 83.286886
final  value 83.286886 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 108.077094 
iter  10 value 94.090586
iter  20 value 88.438694
iter  30 value 84.326374
iter  40 value 83.623999
iter  50 value 83.005823
iter  60 value 82.320963
iter  70 value 82.049475
iter  80 value 81.652938
iter  90 value 81.439657
iter 100 value 81.272427
final  value 81.272427 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 117.816743 
iter  10 value 90.023670
iter  20 value 86.506535
iter  30 value 85.010996
iter  40 value 82.504406
iter  50 value 81.844557
iter  60 value 81.376510
iter  70 value 81.048911
iter  80 value 80.961489
iter  90 value 80.932031
iter 100 value 80.821500
final  value 80.821500 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 117.404476 
iter  10 value 95.071700
iter  20 value 88.925301
iter  30 value 88.098850
iter  40 value 85.440704
iter  50 value 83.316823
iter  60 value 82.768114
iter  70 value 82.648438
iter  80 value 82.474814
iter  90 value 81.873242
iter 100 value 81.598884
final  value 81.598884 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.328456 
iter  10 value 95.997748
iter  20 value 93.912313
iter  30 value 90.796325
iter  40 value 88.468785
iter  50 value 85.832350
iter  60 value 85.469581
iter  70 value 84.016099
iter  80 value 83.313884
iter  90 value 82.072284
iter 100 value 81.450408
final  value 81.450408 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 117.416630 
iter  10 value 98.446594
iter  20 value 93.765851
iter  30 value 90.735216
iter  40 value 86.776852
iter  50 value 86.390876
iter  60 value 86.255786
iter  70 value 86.157105
iter  80 value 85.626504
iter  90 value 83.901093
iter 100 value 83.310116
final  value 83.310116 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 126.688334 
iter  10 value 94.503964
iter  20 value 93.735893
iter  30 value 92.680336
iter  40 value 91.597022
iter  50 value 90.953767
iter  60 value 90.519901
iter  70 value 89.682667
iter  80 value 84.878737
iter  90 value 84.030282
iter 100 value 82.875522
final  value 82.875522 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.658552 
iter  10 value 94.485913
iter  20 value 94.369602
iter  30 value 92.162883
iter  40 value 91.990712
iter  50 value 91.987965
final  value 91.987964 
converged
Fitting Repeat 2 

# weights:  103
initial  value 106.881034 
final  value 94.028606 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.590945 
final  value 94.485867 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.141755 
final  value 94.486028 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.546195 
final  value 94.485879 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.289374 
iter  10 value 93.664888
iter  20 value 93.646169
iter  30 value 91.018918
iter  40 value 82.731149
iter  50 value 82.692392
iter  60 value 82.692132
final  value 82.692044 
converged
Fitting Repeat 2 

# weights:  305
initial  value 103.137665 
iter  10 value 94.492879
iter  20 value 87.289602
iter  30 value 84.728952
iter  40 value 84.728624
iter  50 value 84.722865
iter  60 value 83.978419
iter  70 value 83.726289
iter  80 value 82.095874
iter  90 value 81.286509
iter 100 value 80.912282
final  value 80.912282 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.686084 
iter  10 value 93.749145
iter  20 value 93.692953
iter  30 value 93.627944
iter  40 value 93.624266
final  value 93.624177 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.108918 
iter  10 value 93.022602
iter  20 value 87.254032
iter  30 value 83.969027
iter  40 value 81.795939
iter  50 value 81.746375
iter  60 value 81.722362
iter  70 value 81.579027
iter  80 value 80.582115
iter  90 value 80.452196
iter 100 value 80.447012
final  value 80.447012 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.466345 
iter  10 value 94.488162
iter  20 value 93.734849
iter  30 value 93.581335
final  value 93.576262 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.605353 
iter  10 value 94.492021
iter  20 value 94.471412
final  value 94.026752 
converged
Fitting Repeat 2 

# weights:  507
initial  value 125.044721 
iter  10 value 93.637661
iter  20 value 93.629942
iter  30 value 93.577815
iter  40 value 93.577515
iter  50 value 93.509849
iter  60 value 93.508521
iter  70 value 85.965774
iter  80 value 85.034391
iter  90 value 85.017757
iter 100 value 85.017398
final  value 85.017398 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 98.445044 
iter  10 value 94.034921
iter  20 value 93.676815
iter  30 value 86.138263
iter  40 value 85.442701
iter  50 value 84.013928
iter  60 value 83.868732
iter  70 value 83.867276
iter  70 value 83.867275
iter  70 value 83.867275
final  value 83.867275 
converged
Fitting Repeat 4 

# weights:  507
initial  value 95.817305 
iter  10 value 93.110270
iter  20 value 91.247331
iter  30 value 90.150949
iter  40 value 84.386802
iter  50 value 84.253338
final  value 84.252280 
converged
Fitting Repeat 5 

# weights:  507
initial  value 99.701419 
iter  10 value 94.035054
iter  20 value 94.028497
final  value 94.027169 
converged
Fitting Repeat 1 

# weights:  305
initial  value 143.613293 
iter  10 value 118.097980
iter  20 value 114.234670
iter  30 value 109.736891
iter  40 value 106.094813
iter  50 value 105.394926
iter  60 value 105.372985
iter  70 value 105.253499
iter  80 value 105.009682
iter  90 value 104.273965
iter 100 value 102.551249
final  value 102.551249 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 130.301740 
iter  10 value 112.721505
iter  20 value 106.819515
iter  30 value 105.454891
iter  40 value 103.769362
iter  50 value 103.711089
iter  60 value 103.404076
iter  70 value 103.193132
iter  80 value 102.623536
iter  90 value 101.554366
iter 100 value 101.351535
final  value 101.351535 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 136.506180 
iter  10 value 117.683028
iter  20 value 112.366676
iter  30 value 110.498098
iter  40 value 108.441610
iter  50 value 106.071129
iter  60 value 103.803585
iter  70 value 101.924800
iter  80 value 101.040446
iter  90 value 100.794499
iter 100 value 100.734046
final  value 100.734046 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 126.886718 
iter  10 value 118.277846
iter  20 value 115.453672
iter  30 value 109.703190
iter  40 value 106.330485
iter  50 value 105.843796
iter  60 value 105.604599
iter  70 value 105.272219
iter  80 value 104.812364
iter  90 value 102.533749
iter 100 value 102.359516
final  value 102.359516 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 130.453099 
iter  10 value 117.638297
iter  20 value 113.393412
iter  30 value 109.139407
iter  40 value 106.625617
iter  50 value 104.587026
iter  60 value 103.322264
iter  70 value 103.085065
iter  80 value 102.714778
iter  90 value 102.525031
iter 100 value 102.387680
final  value 102.387680 
stopped after 100 iterations
svmRadial
ranger
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases


RUNIT TEST PROTOCOL -- Fri May  1 01:07:38 2026 
*********************************************** 
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
HPiP RUnit Tests - 7 test functions, 0 errors, 0 failures
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: `repeats` has no meaning for this resampling method. 
2: executing %dopar% sequentially: no parallel backend registered 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
 39.729   1.182  89.653