##############################################################################
##############################################################################
###
### 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_1.17.2.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.23-bioc/meat/HPiP.Rcheck’
* using R Under development (unstable) (2026-03-05 r89546)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
    GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
* running under: Ubuntu 24.04.4 LTS
* using session charset: UTF-8
* current time: 2026-03-09 04:09:18 UTC
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.17.2’
* 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
var_imp       34.879  0.521  35.433
corr_plot     33.620  0.389  34.009
FSmethod      32.413  0.586  33.001
pred_ensembel 12.496  0.108  11.317
enrichfindP    0.503  0.039  15.619
* 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 ‘1.17.2’
** 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 Under development (unstable) (2026-03-05 r89546) -- "Unsuffered Consequences"
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
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1 

# weights:  103
initial  value 100.426848 
iter  10 value 91.971370
iter  20 value 87.374758
iter  30 value 87.040638
iter  40 value 87.031250
iter  40 value 87.031250
final  value 87.031250 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.320013 
final  value 93.903984 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.405009 
final  value 93.903984 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.229611 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.559581 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.193386 
final  value 93.582418 
converged
Fitting Repeat 2 

# weights:  305
initial  value 106.421712 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 103.449955 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 106.598195 
final  value 93.582418 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.557521 
iter  10 value 93.582758
final  value 93.582418 
converged
Fitting Repeat 1 

# weights:  507
initial  value 114.773859 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 117.226008 
iter  10 value 90.872530
iter  20 value 90.414200
final  value 90.414168 
converged
Fitting Repeat 3 

# weights:  507
initial  value 94.443871 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 105.391658 
iter  10 value 93.826166
iter  20 value 93.341190
iter  30 value 93.067720
iter  40 value 93.062184
final  value 93.062109 
converged
Fitting Repeat 5 

# weights:  507
initial  value 111.382911 
iter  10 value 92.754319
iter  20 value 91.371679
iter  30 value 91.350981
iter  40 value 91.082082
iter  50 value 90.587659
iter  60 value 90.138974
final  value 90.138099 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.379108 
iter  10 value 94.009498
iter  20 value 93.434207
iter  30 value 88.911148
iter  40 value 84.643684
iter  50 value 83.981393
iter  60 value 83.602649
iter  70 value 83.489977
iter  80 value 82.945277
iter  90 value 82.169641
iter 100 value 81.868270
final  value 81.868270 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 98.557530 
iter  10 value 93.938196
iter  20 value 90.535192
iter  30 value 87.135072
iter  40 value 85.205775
iter  50 value 84.213031
iter  60 value 83.686344
iter  70 value 82.990325
iter  80 value 82.127684
iter  90 value 81.872479
iter 100 value 81.865375
final  value 81.865375 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 103.342461 
iter  10 value 94.054951
iter  20 value 93.420454
iter  30 value 93.322527
iter  40 value 91.992460
iter  50 value 86.044978
iter  60 value 84.537870
iter  70 value 83.561028
iter  80 value 83.345908
iter  90 value 83.319935
iter 100 value 83.318426
final  value 83.318426 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 99.316895 
iter  10 value 92.385401
iter  20 value 87.685509
iter  30 value 83.303869
iter  40 value 82.546362
iter  50 value 82.302179
iter  60 value 82.152245
iter  70 value 81.724070
iter  80 value 81.689168
iter  90 value 81.650278
final  value 81.650198 
converged
Fitting Repeat 5 

# weights:  103
initial  value 119.009461 
iter  10 value 94.015100
iter  20 value 86.095286
iter  30 value 84.639957
iter  40 value 83.795320
iter  50 value 83.456658
iter  60 value 82.843003
iter  70 value 82.111563
iter  80 value 81.862666
iter  90 value 81.707676
iter 100 value 81.654446
final  value 81.654446 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 114.518414 
iter  10 value 94.885040
iter  20 value 93.082471
iter  30 value 89.159601
iter  40 value 86.261275
iter  50 value 82.936758
iter  60 value 81.629969
iter  70 value 81.327784
iter  80 value 81.186884
iter  90 value 81.055572
iter 100 value 81.002254
final  value 81.002254 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 104.762868 
iter  10 value 93.964589
iter  20 value 86.125851
iter  30 value 83.729637
iter  40 value 81.897563
iter  50 value 81.425678
iter  60 value 81.206668
iter  70 value 80.874135
iter  80 value 80.607393
iter  90 value 80.491813
iter 100 value 80.389907
final  value 80.389907 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 117.903510 
iter  10 value 94.270881
iter  20 value 93.553552
iter  30 value 90.641959
iter  40 value 84.125039
iter  50 value 83.655445
iter  60 value 82.828650
iter  70 value 81.848095
iter  80 value 81.510723
iter  90 value 81.455400
iter 100 value 81.428785
final  value 81.428785 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 115.707058 
iter  10 value 93.998647
iter  20 value 90.007702
iter  30 value 87.174429
iter  40 value 84.307019
iter  50 value 83.315578
iter  60 value 82.450835
iter  70 value 82.110443
iter  80 value 81.952648
iter  90 value 81.751433
iter 100 value 81.477884
final  value 81.477884 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 106.577810 
iter  10 value 93.995020
iter  20 value 93.688712
iter  30 value 93.154213
iter  40 value 90.040913
iter  50 value 88.646213
iter  60 value 86.062597
iter  70 value 85.181303
iter  80 value 84.437576
iter  90 value 84.107133
iter 100 value 83.584397
final  value 83.584397 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 131.703194 
iter  10 value 94.594706
iter  20 value 93.994878
iter  30 value 91.470283
iter  40 value 85.562744
iter  50 value 83.701533
iter  60 value 83.174868
iter  70 value 82.525011
iter  80 value 81.062341
iter  90 value 80.874543
iter 100 value 80.741304
final  value 80.741304 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.289536 
iter  10 value 94.146390
iter  20 value 89.661522
iter  30 value 85.992388
iter  40 value 82.526456
iter  50 value 81.225558
iter  60 value 81.008021
iter  70 value 80.675429
iter  80 value 80.534367
iter  90 value 80.381985
iter 100 value 80.171526
final  value 80.171526 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 125.411132 
iter  10 value 93.901106
iter  20 value 90.068164
iter  30 value 88.166013
iter  40 value 87.673422
iter  50 value 87.128896
iter  60 value 83.467817
iter  70 value 82.227996
iter  80 value 81.925338
iter  90 value 80.870875
iter 100 value 80.478985
final  value 80.478985 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.131438 
iter  10 value 94.519738
iter  20 value 86.765740
iter  30 value 85.455676
iter  40 value 82.070846
iter  50 value 80.988162
iter  60 value 80.641031
iter  70 value 80.409726
iter  80 value 80.280287
iter  90 value 80.250459
iter 100 value 80.226912
final  value 80.226912 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 112.090138 
iter  10 value 93.633939
iter  20 value 87.288939
iter  30 value 84.487153
iter  40 value 82.589261
iter  50 value 82.358504
iter  60 value 81.745641
iter  70 value 80.924001
iter  80 value 80.679357
iter  90 value 80.449820
iter 100 value 80.178949
final  value 80.178949 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.531975 
iter  10 value 93.905900
iter  20 value 93.819414
iter  30 value 92.319260
iter  40 value 92.286768
iter  50 value 92.285707
final  value 92.285491 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.875808 
final  value 94.054591 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.818757 
final  value 94.054352 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.936648 
iter  10 value 94.054789
iter  20 value 94.052926
final  value 94.052916 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.995805 
final  value 94.054692 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.559304 
iter  10 value 84.913439
iter  20 value 83.555405
iter  30 value 83.553504
final  value 83.549462 
converged
Fitting Repeat 2 

# weights:  305
initial  value 111.904136 
iter  10 value 94.057421
iter  20 value 93.840087
iter  30 value 87.238601
iter  40 value 85.050363
iter  50 value 85.022731
iter  60 value 85.017488
iter  70 value 84.805700
final  value 84.805614 
converged
Fitting Repeat 3 

# weights:  305
initial  value 104.019416 
iter  10 value 94.111945
iter  20 value 94.025511
iter  30 value 91.721771
iter  40 value 91.660441
iter  50 value 91.628188
iter  60 value 89.797982
iter  70 value 89.597855
iter  80 value 89.379936
iter  90 value 85.311548
iter 100 value 85.310669
final  value 85.310669 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 96.660123 
iter  10 value 94.053970
iter  20 value 93.975430
iter  30 value 86.340941
iter  40 value 85.486147
iter  50 value 85.441391
iter  60 value 85.440981
iter  70 value 85.375879
iter  80 value 85.238992
iter  80 value 85.238991
iter  80 value 85.238991
final  value 85.238991 
converged
Fitting Repeat 5 

# weights:  305
initial  value 110.087268 
final  value 94.057531 
converged
Fitting Repeat 1 

# weights:  507
initial  value 123.751709 
iter  10 value 93.590387
iter  20 value 93.583540
iter  30 value 88.335004
iter  40 value 83.895808
iter  50 value 83.802025
iter  60 value 83.649027
iter  70 value 82.942310
iter  80 value 82.800545
final  value 82.800342 
converged
Fitting Repeat 2 

# weights:  507
initial  value 98.768861 
iter  10 value 94.060707
iter  20 value 94.053036
iter  30 value 94.039466
iter  40 value 88.197910
iter  50 value 83.487026
iter  60 value 82.876666
iter  70 value 81.347101
iter  80 value 80.360008
iter  90 value 80.242902
iter 100 value 80.240988
final  value 80.240988 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.772768 
iter  10 value 93.382043
iter  20 value 92.954244
iter  30 value 92.804809
iter  40 value 92.716728
iter  50 value 92.713539
iter  60 value 92.048638
iter  70 value 91.913524
iter  80 value 90.071490
iter  90 value 81.980994
iter 100 value 80.436952
final  value 80.436952 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 96.810833 
iter  10 value 93.590676
iter  20 value 93.314087
iter  30 value 92.816349
iter  40 value 87.884470
iter  50 value 83.263053
iter  60 value 83.256049
iter  70 value 83.255289
iter  80 value 83.179048
iter  90 value 83.157789
iter  90 value 83.157789
iter  90 value 83.157789
final  value 83.157789 
converged
Fitting Repeat 5 

# weights:  507
initial  value 98.177001 
iter  10 value 93.589296
iter  20 value 93.580006
iter  30 value 92.861969
iter  40 value 89.875788
iter  50 value 84.539409
iter  60 value 84.538955
iter  70 value 84.538587
iter  80 value 83.364442
iter  90 value 83.121867
iter 100 value 81.808043
final  value 81.808043 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.445069 
final  value 94.473119 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.969525 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 107.155757 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.045968 
final  value 93.701657 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.200523 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.400627 
iter  10 value 87.172003
iter  20 value 86.782114
final  value 86.782049 
converged
Fitting Repeat 2 

# weights:  305
initial  value 116.955644 
final  value 93.837462 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.995520 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 99.448498 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 105.094235 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.000886 
iter  10 value 93.217715
iter  20 value 93.092585
iter  30 value 93.088117
final  value 93.088098 
converged
Fitting Repeat 2 

# weights:  507
initial  value 106.120433 
final  value 94.473118 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.939982 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 116.074474 
iter  10 value 94.892842
final  value 94.473118 
converged
Fitting Repeat 5 

# weights:  507
initial  value 97.745654 
iter  10 value 88.597732
iter  20 value 88.165588
iter  30 value 88.155194
final  value 88.155167 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.679449 
iter  10 value 92.429490
iter  20 value 88.033794
iter  30 value 85.995801
iter  40 value 85.755678
iter  50 value 85.552831
iter  60 value 85.187947
iter  70 value 84.981307
final  value 84.978372 
converged
Fitting Repeat 2 

# weights:  103
initial  value 104.782203 
iter  10 value 94.488589
iter  20 value 93.966799
iter  30 value 91.932300
iter  40 value 86.878373
iter  50 value 86.042023
iter  60 value 85.278045
iter  70 value 85.006482
iter  80 value 84.972036
final  value 84.971997 
converged
Fitting Repeat 3 

# weights:  103
initial  value 109.530657 
iter  10 value 94.434858
iter  20 value 87.173638
iter  30 value 85.614264
iter  40 value 83.048958
iter  50 value 82.280545
iter  60 value 81.605818
iter  70 value 81.165010
iter  80 value 81.126881
final  value 81.126879 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.401503 
iter  10 value 94.520549
iter  20 value 94.481099
iter  30 value 93.564242
iter  40 value 91.564293
iter  50 value 83.328736
iter  60 value 82.225295
iter  70 value 81.910403
iter  80 value 81.715198
iter  90 value 81.379122
iter 100 value 81.296944
final  value 81.296944 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 103.762657 
iter  10 value 94.626319
iter  20 value 94.112619
iter  30 value 91.209756
iter  40 value 88.775245
iter  50 value 87.321694
iter  60 value 85.821393
iter  70 value 85.107274
iter  80 value 84.972734
iter  90 value 84.971997
iter  90 value 84.971997
iter  90 value 84.971997
final  value 84.971997 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.622295 
iter  10 value 94.448531
iter  20 value 93.102195
iter  30 value 86.729611
iter  40 value 84.761018
iter  50 value 84.094970
iter  60 value 83.471815
iter  70 value 81.555267
iter  80 value 80.743254
iter  90 value 80.219827
iter 100 value 80.069890
final  value 80.069890 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 107.286547 
iter  10 value 94.664476
iter  20 value 94.488523
iter  30 value 93.771499
iter  40 value 89.731885
iter  50 value 85.747135
iter  60 value 83.416680
iter  70 value 81.740474
iter  80 value 80.820540
iter  90 value 80.678041
iter 100 value 80.380702
final  value 80.380702 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 100.803000 
iter  10 value 94.489680
iter  20 value 94.488094
iter  30 value 93.842815
iter  40 value 89.642966
iter  50 value 87.226573
iter  60 value 84.964678
iter  70 value 82.966736
iter  80 value 82.504959
iter  90 value 81.388045
iter 100 value 80.975316
final  value 80.975316 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 126.396727 
iter  10 value 96.232146
iter  20 value 86.342485
iter  30 value 85.699323
iter  40 value 85.439469
iter  50 value 85.332895
iter  60 value 85.314552
iter  70 value 85.240339
iter  80 value 85.043162
iter  90 value 83.899538
iter 100 value 82.713658
final  value 82.713658 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 124.920654 
iter  10 value 94.395930
iter  20 value 92.125014
iter  30 value 87.723870
iter  40 value 84.016548
iter  50 value 82.955501
iter  60 value 82.645747
iter  70 value 82.394597
iter  80 value 82.232937
iter  90 value 81.953867
iter 100 value 81.068025
final  value 81.068025 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 111.762946 
iter  10 value 94.535162
iter  20 value 92.665507
iter  30 value 89.154331
iter  40 value 84.056926
iter  50 value 82.446812
iter  60 value 81.544595
iter  70 value 81.240004
iter  80 value 81.073490
iter  90 value 80.540605
iter 100 value 80.162270
final  value 80.162270 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.174601 
iter  10 value 95.707061
iter  20 value 88.143580
iter  30 value 86.210529
iter  40 value 84.885425
iter  50 value 82.809504
iter  60 value 82.188486
iter  70 value 81.314220
iter  80 value 80.575459
iter  90 value 80.423064
iter 100 value 80.114699
final  value 80.114699 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 104.616294 
iter  10 value 96.647660
iter  20 value 88.389509
iter  30 value 83.353475
iter  40 value 81.566011
iter  50 value 81.261224
iter  60 value 80.004594
iter  70 value 79.578388
iter  80 value 79.418113
iter  90 value 79.378091
iter 100 value 79.359892
final  value 79.359892 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 118.562957 
iter  10 value 99.055661
iter  20 value 90.602373
iter  30 value 86.162251
iter  40 value 83.996075
iter  50 value 83.247467
iter  60 value 82.328483
iter  70 value 81.566655
iter  80 value 81.213473
iter  90 value 80.857539
iter 100 value 80.647308
final  value 80.647308 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 125.956561 
iter  10 value 94.795608
iter  20 value 93.671497
iter  30 value 89.390387
iter  40 value 87.056053
iter  50 value 85.677271
iter  60 value 85.143465
iter  70 value 84.997665
iter  80 value 83.715529
iter  90 value 83.299110
iter 100 value 82.648433
final  value 82.648433 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 94.705671 
final  value 94.485849 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.289183 
final  value 94.485746 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.713926 
iter  10 value 94.474606
iter  20 value 94.472155
iter  30 value 90.149469
iter  40 value 88.290186
iter  50 value 88.283917
iter  60 value 88.280861
iter  70 value 87.195711
final  value 86.160114 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.404970 
final  value 94.485996 
converged
Fitting Repeat 5 

# weights:  103
initial  value 105.558727 
final  value 94.485860 
converged
Fitting Repeat 1 

# weights:  305
initial  value 107.036545 
iter  10 value 94.478283
iter  20 value 94.091203
iter  30 value 93.842401
iter  40 value 92.115149
iter  50 value 85.314877
iter  60 value 84.243183
iter  70 value 82.281163
iter  80 value 81.938650
iter  90 value 81.932755
iter 100 value 81.385279
final  value 81.385279 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 96.826113 
iter  10 value 93.706578
iter  20 value 93.551309
iter  30 value 92.741723
iter  40 value 88.778107
iter  50 value 88.768413
iter  60 value 88.596673
iter  70 value 88.590076
iter  80 value 88.589201
iter  90 value 88.588045
iter 100 value 88.573270
final  value 88.573270 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 102.502424 
iter  10 value 94.478120
iter  20 value 94.451069
iter  30 value 92.516990
iter  40 value 92.421805
iter  50 value 91.391519
final  value 91.311316 
converged
Fitting Repeat 4 

# weights:  305
initial  value 109.489909 
iter  10 value 94.491288
iter  20 value 94.391889
iter  30 value 93.454347
final  value 92.856375 
converged
Fitting Repeat 5 

# weights:  305
initial  value 101.536870 
iter  10 value 94.489119
iter  20 value 94.405588
iter  30 value 85.597559
iter  40 value 84.832082
iter  50 value 84.806094
iter  60 value 84.802871
iter  70 value 84.802669
iter  80 value 84.519691
iter  90 value 84.195973
final  value 84.187105 
converged
Fitting Repeat 1 

# weights:  507
initial  value 106.639471 
iter  10 value 94.446047
iter  20 value 94.354071
iter  30 value 94.347591
iter  40 value 94.152062
iter  50 value 86.435721
iter  60 value 84.236467
iter  70 value 83.307269
iter  80 value 83.083678
iter  90 value 83.074847
iter 100 value 82.865868
final  value 82.865868 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.331714 
iter  10 value 94.492057
iter  20 value 94.469521
iter  30 value 87.099198
final  value 87.099196 
converged
Fitting Repeat 3 

# weights:  507
initial  value 105.069022 
iter  10 value 94.481262
iter  20 value 94.442027
iter  30 value 84.691279
iter  40 value 84.473140
iter  50 value 82.313808
iter  60 value 82.296199
iter  70 value 82.219680
final  value 82.207996 
converged
Fitting Repeat 4 

# weights:  507
initial  value 126.687227 
iter  10 value 94.492889
iter  20 value 94.484742
iter  30 value 94.439056
iter  40 value 90.835855
iter  50 value 89.444646
iter  60 value 87.338933
iter  70 value 87.289777
iter  80 value 86.234692
iter  90 value 86.159245
iter 100 value 86.158871
final  value 86.158871 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 99.737737 
iter  10 value 93.712796
iter  20 value 93.710283
iter  30 value 93.707801
iter  40 value 93.686554
iter  50 value 90.814250
iter  60 value 86.730940
iter  70 value 86.727351
iter  80 value 86.723469
iter  90 value 86.699514
iter 100 value 86.465201
final  value 86.465201 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.442483 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.292567 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.676546 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.631750 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.258088 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 118.258938 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.004909 
iter  10 value 93.809365
final  value 93.794996 
converged
Fitting Repeat 3 

# weights:  305
initial  value 106.873278 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 115.123196 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 118.877915 
final  value 94.026542 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.746539 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 107.192702 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.017584 
iter  10 value 94.230452
final  value 94.229692 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.047294 
final  value 94.026542 
converged
Fitting Repeat 5 

# weights:  507
initial  value 120.725646 
final  value 94.305882 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.755385 
iter  10 value 94.409536
iter  20 value 94.134918
iter  30 value 93.946104
iter  40 value 84.963378
iter  50 value 84.093858
iter  60 value 83.348720
iter  70 value 81.052369
iter  80 value 80.436909
final  value 80.436508 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.681729 
iter  10 value 94.130770
iter  20 value 92.949946
iter  30 value 90.500322
iter  40 value 89.694400
iter  50 value 88.016724
iter  60 value 86.849947
iter  70 value 83.992138
iter  80 value 82.527131
iter  90 value 81.878302
iter 100 value 81.328420
final  value 81.328420 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 101.718431 
iter  10 value 94.489241
iter  20 value 93.303949
iter  30 value 86.289157
iter  40 value 85.874167
iter  50 value 82.255813
iter  60 value 81.055784
iter  70 value 80.704201
iter  80 value 80.475551
iter  90 value 80.436509
iter  90 value 80.436509
iter  90 value 80.436509
final  value 80.436509 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.337813 
iter  10 value 94.488418
iter  20 value 94.031711
iter  30 value 93.508841
iter  40 value 90.693283
iter  50 value 90.247801
iter  60 value 90.196819
iter  70 value 87.271498
iter  80 value 83.236838
iter  90 value 81.396005
iter 100 value 81.225367
final  value 81.225367 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 103.677640 
iter  10 value 94.463711
iter  20 value 94.216757
iter  30 value 93.764474
iter  40 value 87.268192
iter  50 value 84.813279
iter  60 value 82.361007
iter  70 value 81.880788
iter  80 value 81.075652
iter  90 value 81.061973
iter 100 value 81.060069
final  value 81.060069 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 103.034674 
iter  10 value 90.744962
iter  20 value 84.538788
iter  30 value 84.053615
iter  40 value 83.648400
iter  50 value 81.281934
iter  60 value 80.478004
iter  70 value 80.177301
iter  80 value 79.776387
iter  90 value 79.520473
iter 100 value 79.482264
final  value 79.482264 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 112.823939 
iter  10 value 94.492937
iter  20 value 94.010818
iter  30 value 85.716437
iter  40 value 83.725694
iter  50 value 82.680893
iter  60 value 81.827045
iter  70 value 81.080509
iter  80 value 80.763973
iter  90 value 80.492797
iter 100 value 80.423121
final  value 80.423121 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.096998 
iter  10 value 94.388805
iter  20 value 90.752066
iter  30 value 86.558689
iter  40 value 84.649420
iter  50 value 83.033913
iter  60 value 82.133301
iter  70 value 80.845611
iter  80 value 79.818743
iter  90 value 79.310847
iter 100 value 78.839698
final  value 78.839698 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 114.665121 
iter  10 value 94.538607
iter  20 value 94.310727
iter  30 value 85.504297
iter  40 value 84.609507
iter  50 value 82.663641
iter  60 value 82.053076
iter  70 value 81.884356
iter  80 value 80.121473
iter  90 value 79.728294
iter 100 value 79.241451
final  value 79.241451 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.033893 
iter  10 value 93.906168
iter  20 value 91.792187
iter  30 value 83.683263
iter  40 value 83.348938
iter  50 value 82.250143
iter  60 value 81.974659
iter  70 value 81.450013
iter  80 value 80.987394
iter  90 value 79.778692
iter 100 value 79.423129
final  value 79.423129 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.130012 
iter  10 value 86.658897
iter  20 value 84.204296
iter  30 value 83.001095
iter  40 value 80.824795
iter  50 value 80.503540
iter  60 value 79.572546
iter  70 value 79.377436
iter  80 value 79.340280
iter  90 value 79.288353
iter 100 value 79.185441
final  value 79.185441 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.410172 
iter  10 value 94.491754
iter  20 value 93.358526
iter  30 value 87.249950
iter  40 value 86.422857
iter  50 value 86.065061
iter  60 value 83.765433
iter  70 value 82.883744
iter  80 value 81.656502
iter  90 value 80.052003
iter 100 value 79.294338
final  value 79.294338 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 104.999551 
iter  10 value 94.143286
iter  20 value 89.164650
iter  30 value 84.327732
iter  40 value 83.908368
iter  50 value 82.320045
iter  60 value 80.465587
iter  70 value 78.972557
iter  80 value 78.744616
iter  90 value 78.655212
iter 100 value 78.581249
final  value 78.581249 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 131.752180 
iter  10 value 95.240043
iter  20 value 89.908638
iter  30 value 85.800100
iter  40 value 82.968077
iter  50 value 81.210053
iter  60 value 80.438437
iter  70 value 79.975415
iter  80 value 79.727303
iter  90 value 79.300337
iter 100 value 79.056967
final  value 79.056967 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 113.478375 
iter  10 value 93.881022
iter  20 value 90.251506
iter  30 value 88.275952
iter  40 value 85.033609
iter  50 value 81.520951
iter  60 value 80.643827
iter  70 value 80.258889
iter  80 value 79.880124
iter  90 value 79.540148
iter 100 value 79.035846
final  value 79.035846 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.831052 
final  value 94.485817 
converged
Fitting Repeat 2 

# weights:  103
initial  value 109.333277 
final  value 94.485834 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.657356 
final  value 94.485871 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.282278 
final  value 94.485676 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.391774 
final  value 94.485680 
converged
Fitting Repeat 1 

# weights:  305
initial  value 115.530103 
iter  10 value 94.488757
iter  20 value 94.473025
iter  30 value 92.633108
iter  40 value 85.173935
final  value 85.173860 
converged
Fitting Repeat 2 

# weights:  305
initial  value 112.901171 
iter  10 value 94.488901
iter  20 value 94.474717
iter  30 value 94.090480
iter  40 value 93.393201
iter  50 value 86.857215
final  value 86.850155 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.024331 
iter  10 value 94.488622
iter  20 value 94.350158
iter  30 value 85.534739
final  value 85.534478 
converged
Fitting Repeat 4 

# weights:  305
initial  value 104.572517 
iter  10 value 93.981995
iter  20 value 93.979554
final  value 93.975959 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.764820 
iter  10 value 94.488913
iter  20 value 93.911101
iter  30 value 86.071126
iter  40 value 84.303211
iter  50 value 83.570278
iter  60 value 83.548067
iter  70 value 83.547545
iter  80 value 83.469546
iter  90 value 82.593566
iter 100 value 81.247613
final  value 81.247613 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 107.958670 
iter  10 value 94.493469
iter  20 value 94.486268
iter  30 value 93.646291
iter  40 value 93.616670
iter  50 value 93.598883
iter  60 value 93.339392
iter  70 value 93.257950
iter  80 value 91.332459
iter  90 value 84.130581
iter 100 value 82.959667
final  value 82.959667 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.737749 
iter  10 value 94.456368
iter  20 value 94.448992
final  value 94.448885 
converged
Fitting Repeat 3 

# weights:  507
initial  value 94.883036 
iter  10 value 93.713481
iter  20 value 93.009994
iter  30 value 93.008020
iter  40 value 93.003583
iter  50 value 90.660602
iter  60 value 90.150729
iter  70 value 90.137142
iter  80 value 90.135061
iter  90 value 89.868211
iter 100 value 89.356990
final  value 89.356990 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 108.589272 
iter  10 value 91.153013
iter  20 value 83.049805
iter  30 value 83.034683
iter  40 value 82.179558
iter  50 value 81.962963
iter  60 value 81.945726
iter  70 value 81.924999
iter  80 value 81.492753
iter  90 value 78.982585
iter 100 value 78.569276
final  value 78.569276 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 109.601466 
iter  10 value 93.806613
iter  20 value 93.439773
iter  30 value 93.435554
iter  40 value 93.420391
iter  50 value 93.418148
iter  60 value 93.416836
iter  70 value 93.416678
final  value 93.416658 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.337987 
iter  10 value 94.003413
iter  20 value 93.654219
final  value 93.653871 
converged
Fitting Repeat 2 

# weights:  103
initial  value 116.444118 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.240845 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.725340 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.727499 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.623117 
final  value 94.038251 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.024482 
final  value 93.653870 
converged
Fitting Repeat 3 

# weights:  305
initial  value 106.122504 
iter  10 value 93.973339
iter  20 value 93.196443
iter  30 value 92.933117
final  value 92.864740 
converged
Fitting Repeat 4 

# weights:  305
initial  value 111.616144 
final  value 94.038251 
converged
Fitting Repeat 5 

# weights:  305
initial  value 101.044035 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 109.224692 
final  value 94.038251 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.933750 
iter  10 value 93.792066
final  value 93.792058 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.799977 
iter  10 value 93.804890
final  value 93.804883 
converged
Fitting Repeat 4 

# weights:  507
initial  value 95.154924 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  507
initial  value 106.074552 
iter  10 value 88.092529
iter  20 value 86.924539
iter  30 value 86.923632
iter  40 value 86.855151
final  value 86.854764 
converged
Fitting Repeat 1 

# weights:  103
initial  value 103.568335 
iter  10 value 94.736027
iter  20 value 94.056609
iter  30 value 93.657182
iter  40 value 91.232428
iter  50 value 90.091876
iter  60 value 88.894253
iter  70 value 86.676614
iter  80 value 86.000175
iter  90 value 85.861916
iter 100 value 85.660062
final  value 85.660062 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 104.502289 
iter  10 value 94.044091
iter  20 value 87.962889
iter  30 value 86.945752
iter  40 value 86.317481
iter  50 value 86.287896
iter  60 value 86.286257
final  value 86.286120 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.943335 
iter  10 value 94.055333
iter  20 value 93.796046
iter  30 value 93.748840
iter  40 value 93.742246
iter  50 value 93.664572
iter  60 value 90.965199
iter  70 value 87.976968
iter  80 value 87.218377
iter  90 value 86.049281
iter 100 value 85.652008
final  value 85.652008 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 103.374177 
iter  10 value 93.988851
iter  20 value 90.014990
iter  30 value 88.534919
iter  40 value 88.307074
iter  50 value 87.447228
iter  60 value 86.191249
iter  70 value 85.850898
iter  80 value 85.839394
final  value 85.835495 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.371120 
iter  10 value 94.062103
iter  20 value 94.009432
iter  30 value 86.977277
iter  40 value 85.797979
iter  50 value 85.399731
iter  60 value 85.346400
final  value 85.340097 
converged
Fitting Repeat 1 

# weights:  305
initial  value 111.941222 
iter  10 value 94.037881
iter  20 value 91.884699
iter  30 value 87.918729
iter  40 value 85.378159
iter  50 value 85.041137
iter  60 value 84.878263
iter  70 value 84.811111
iter  80 value 84.547803
iter  90 value 83.718763
iter 100 value 82.843282
final  value 82.843282 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 113.686476 
iter  10 value 94.077821
iter  20 value 93.900546
iter  30 value 92.957773
iter  40 value 89.700965
iter  50 value 88.965026
iter  60 value 88.731462
iter  70 value 87.981873
iter  80 value 87.051708
iter  90 value 82.903895
iter 100 value 82.152714
final  value 82.152714 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 106.238767 
iter  10 value 94.269979
iter  20 value 93.521318
iter  30 value 92.325658
iter  40 value 87.573276
iter  50 value 85.753901
iter  60 value 84.537204
iter  70 value 83.386694
iter  80 value 82.470309
iter  90 value 81.770643
iter 100 value 81.506785
final  value 81.506785 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.049945 
iter  10 value 93.392180
iter  20 value 88.494441
iter  30 value 86.931214
iter  40 value 86.208330
iter  50 value 85.702148
iter  60 value 84.875579
iter  70 value 84.564539
iter  80 value 83.352576
iter  90 value 82.140590
iter 100 value 81.822398
final  value 81.822398 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.218785 
iter  10 value 93.965953
iter  20 value 89.786373
iter  30 value 87.034492
iter  40 value 86.449107
iter  50 value 86.304515
iter  60 value 84.955499
iter  70 value 83.877758
iter  80 value 83.134988
iter  90 value 82.511080
iter 100 value 82.101022
final  value 82.101022 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 122.658076 
iter  10 value 94.066461
iter  20 value 91.301542
iter  30 value 88.572613
iter  40 value 86.732628
iter  50 value 85.895281
iter  60 value 85.354674
iter  70 value 84.092149
iter  80 value 83.526157
iter  90 value 82.669582
iter 100 value 81.927107
final  value 81.927107 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 133.306072 
iter  10 value 93.719824
iter  20 value 89.051991
iter  30 value 87.972653
iter  40 value 85.900266
iter  50 value 85.640834
iter  60 value 84.938089
iter  70 value 84.111140
iter  80 value 83.492888
iter  90 value 82.391830
iter 100 value 81.918087
final  value 81.918087 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 109.560829 
iter  10 value 94.197332
iter  20 value 87.366267
iter  30 value 86.678902
iter  40 value 86.388269
iter  50 value 85.587311
iter  60 value 84.427798
iter  70 value 83.769593
iter  80 value 83.120193
iter  90 value 82.560394
iter 100 value 82.275052
final  value 82.275052 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 105.079627 
iter  10 value 96.475575
iter  20 value 90.049113
iter  30 value 85.654124
iter  40 value 84.632576
iter  50 value 83.281339
iter  60 value 82.662461
iter  70 value 82.239927
iter  80 value 82.020460
iter  90 value 81.904489
iter 100 value 81.675037
final  value 81.675037 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 135.274661 
iter  10 value 94.087933
iter  20 value 93.717101
iter  30 value 91.382368
iter  40 value 87.712267
iter  50 value 84.179049
iter  60 value 82.408459
iter  70 value 81.564575
iter  80 value 81.230140
iter  90 value 81.155390
iter 100 value 81.033365
final  value 81.033365 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 94.254482 
final  value 94.054392 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.806534 
final  value 94.054559 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.803419 
final  value 94.054312 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.127454 
final  value 94.054500 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.132928 
iter  10 value 94.054412
iter  20 value 94.036381
iter  30 value 89.607660
iter  40 value 88.945660
iter  50 value 88.868519
iter  60 value 88.866457
iter  70 value 87.261833
iter  80 value 87.228101
iter  90 value 87.227620
iter 100 value 87.046791
final  value 87.046791 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 95.018259 
iter  10 value 93.908592
iter  20 value 93.907995
iter  30 value 93.883347
iter  40 value 93.882201
iter  50 value 91.154378
iter  60 value 87.636602
iter  70 value 86.162063
iter  80 value 85.885521
iter  90 value 85.734843
iter 100 value 85.004032
final  value 85.004032 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 98.559857 
iter  10 value 94.057776
iter  20 value 94.053061
iter  30 value 93.813263
iter  40 value 92.754413
iter  50 value 88.443617
iter  60 value 87.908040
final  value 87.907629 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.276702 
iter  10 value 94.056112
iter  20 value 94.052916
iter  30 value 90.268821
iter  40 value 90.060360
final  value 90.060328 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.013979 
iter  10 value 94.058369
iter  20 value 93.896435
iter  30 value 87.447335
iter  40 value 87.440320
iter  50 value 87.439871
final  value 87.439441 
converged
Fitting Repeat 5 

# weights:  305
initial  value 108.754160 
iter  10 value 94.057636
iter  20 value 94.041925
iter  30 value 93.731242
iter  40 value 86.133689
iter  50 value 85.883108
final  value 85.876172 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.734541 
iter  10 value 94.046562
iter  20 value 94.039446
final  value 94.038831 
converged
Fitting Repeat 2 

# weights:  507
initial  value 121.072347 
iter  10 value 93.813362
iter  20 value 93.809365
iter  30 value 93.805381
iter  40 value 93.675170
iter  50 value 86.401309
iter  60 value 85.153413
iter  70 value 84.975129
iter  80 value 84.974186
iter  90 value 84.973814
iter 100 value 84.973181
final  value 84.973181 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 110.566049 
iter  10 value 93.868268
iter  20 value 93.653123
iter  30 value 93.624045
iter  40 value 93.620464
final  value 93.619319 
converged
Fitting Repeat 4 

# weights:  507
initial  value 94.828752 
iter  10 value 93.867921
iter  20 value 92.332350
iter  30 value 88.725540
iter  40 value 88.125841
final  value 88.125809 
converged
Fitting Repeat 5 

# weights:  507
initial  value 114.516050 
iter  10 value 93.892257
iter  20 value 93.875355
iter  30 value 93.844290
iter  40 value 93.838191
iter  50 value 93.744832
iter  60 value 93.639237
iter  70 value 93.626660
iter  80 value 93.626419
iter  90 value 93.625572
final  value 93.625520 
converged
Fitting Repeat 1 

# weights:  103
initial  value 109.273212 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 109.027025 
iter  10 value 94.473118
iter  10 value 94.473118
iter  10 value 94.473118
final  value 94.473118 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.624657 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 106.397426 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.246057 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 114.582495 
final  value 94.482478 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.050900 
iter  10 value 82.962878
iter  20 value 81.271987
iter  30 value 81.230746
iter  30 value 81.230746
iter  30 value 81.230746
final  value 81.230746 
converged
Fitting Repeat 3 

# weights:  305
initial  value 103.102995 
final  value 94.354396 
converged
Fitting Repeat 4 

# weights:  305
initial  value 102.235845 
final  value 94.354396 
converged
Fitting Repeat 5 

# weights:  305
initial  value 114.384027 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 114.212165 
final  value 94.354396 
converged
Fitting Repeat 2 

# weights:  507
initial  value 120.545301 
iter  10 value 102.129187
iter  20 value 94.354841
final  value 94.354396 
converged
Fitting Repeat 3 

# weights:  507
initial  value 101.107319 
iter  10 value 94.321512
iter  20 value 92.023730
iter  30 value 83.249069
iter  40 value 81.400352
iter  50 value 81.396627
final  value 81.396620 
converged
Fitting Repeat 4 

# weights:  507
initial  value 110.597702 
final  value 94.484210 
converged
Fitting Repeat 5 

# weights:  507
initial  value 97.020826 
final  value 94.484210 
converged
Fitting Repeat 1 

# weights:  103
initial  value 105.762082 
iter  10 value 94.455128
iter  20 value 93.749575
iter  30 value 87.526847
iter  40 value 84.680029
iter  50 value 82.829793
iter  60 value 81.335516
iter  70 value 81.315281
iter  80 value 81.311349
final  value 81.311343 
converged
Fitting Repeat 2 

# weights:  103
initial  value 101.644935 
iter  10 value 88.557514
iter  20 value 85.295322
iter  30 value 83.289644
iter  40 value 83.212175
iter  50 value 83.145637
iter  60 value 83.035632
iter  70 value 82.955675
iter  80 value 82.926919
final  value 82.926916 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.631806 
iter  10 value 94.236717
iter  20 value 87.560272
iter  30 value 87.260561
iter  40 value 86.548542
iter  50 value 83.498699
iter  60 value 82.932947
iter  70 value 82.841865
iter  80 value 82.625503
iter  90 value 82.497250
final  value 82.496856 
converged
Fitting Repeat 4 

# weights:  103
initial  value 102.501075 
iter  10 value 87.267075
iter  20 value 83.341119
iter  30 value 83.024947
iter  40 value 82.817605
iter  50 value 82.643291
iter  60 value 82.539996
iter  70 value 82.455969
iter  80 value 82.368538
iter  90 value 82.356483
iter  90 value 82.356482
iter  90 value 82.356482
final  value 82.356482 
converged
Fitting Repeat 5 

# weights:  103
initial  value 109.160513 
iter  10 value 94.487053
iter  20 value 89.405393
iter  30 value 84.343899
iter  40 value 83.587230
iter  50 value 83.483616
iter  60 value 83.342950
final  value 83.326476 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.202336 
iter  10 value 94.818056
iter  20 value 88.965878
iter  30 value 85.002922
iter  40 value 84.604406
iter  50 value 83.926782
iter  60 value 80.564532
iter  70 value 80.220122
iter  80 value 80.168031
iter  90 value 80.044908
iter 100 value 79.960138
final  value 79.960138 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 106.719782 
iter  10 value 85.911729
iter  20 value 84.666825
iter  30 value 83.242606
iter  40 value 81.314382
iter  50 value 80.749856
iter  60 value 80.624012
iter  70 value 80.243597
iter  80 value 79.808493
iter  90 value 79.761138
iter 100 value 79.757502
final  value 79.757502 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.090335 
iter  10 value 95.020189
iter  20 value 94.005220
iter  30 value 86.426526
iter  40 value 83.407911
iter  50 value 82.588043
iter  60 value 82.502965
iter  70 value 80.993646
iter  80 value 80.079954
iter  90 value 79.597149
iter 100 value 79.570946
final  value 79.570946 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 111.937280 
iter  10 value 94.273735
iter  20 value 86.898476
iter  30 value 83.545899
iter  40 value 82.031249
iter  50 value 81.285679
iter  60 value 81.201367
iter  70 value 81.027560
iter  80 value 80.141442
iter  90 value 79.722790
iter 100 value 79.501402
final  value 79.501402 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.158176 
iter  10 value 94.206562
iter  20 value 88.911817
iter  30 value 87.957659
iter  40 value 87.371021
iter  50 value 85.007943
iter  60 value 83.000133
iter  70 value 81.796351
iter  80 value 80.272823
iter  90 value 79.960701
iter 100 value 79.762871
final  value 79.762871 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 105.164665 
iter  10 value 89.942329
iter  20 value 83.291980
iter  30 value 82.049747
iter  40 value 81.538482
iter  50 value 80.339872
iter  60 value 79.866626
iter  70 value 79.682947
iter  80 value 79.622985
iter  90 value 79.348413
iter 100 value 79.180324
final  value 79.180324 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 103.055341 
iter  10 value 94.965983
iter  20 value 90.987689
iter  30 value 85.027056
iter  40 value 81.433995
iter  50 value 80.638446
iter  60 value 80.375931
iter  70 value 80.251425
iter  80 value 80.234649
iter  90 value 80.182720
iter 100 value 80.007676
final  value 80.007676 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 132.414230 
iter  10 value 95.315159
iter  20 value 94.114805
iter  30 value 85.140347
iter  40 value 83.524044
iter  50 value 83.199309
iter  60 value 82.759000
iter  70 value 81.468051
iter  80 value 80.570196
iter  90 value 80.394524
iter 100 value 79.944081
final  value 79.944081 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 112.093370 
iter  10 value 94.686858
iter  20 value 93.756535
iter  30 value 90.314013
iter  40 value 86.245216
iter  50 value 83.113513
iter  60 value 82.162750
iter  70 value 81.762142
iter  80 value 80.673297
iter  90 value 79.938458
iter 100 value 79.240894
final  value 79.240894 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 128.831559 
iter  10 value 99.863442
iter  20 value 91.936175
iter  30 value 88.729028
iter  40 value 83.020783
iter  50 value 82.684049
iter  60 value 82.296674
iter  70 value 82.209986
iter  80 value 81.679176
iter  90 value 80.686270
iter 100 value 80.261099
final  value 80.261099 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 104.942387 
iter  10 value 94.474881
iter  10 value 94.474880
iter  10 value 94.474880
final  value 94.474880 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.886644 
final  value 94.489962 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.308360 
final  value 94.485911 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.380218 
final  value 94.485874 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.711720 
final  value 94.485826 
converged
Fitting Repeat 1 

# weights:  305
initial  value 109.052378 
iter  10 value 94.488781
iter  20 value 94.484261
final  value 94.484221 
converged
Fitting Repeat 2 

# weights:  305
initial  value 113.527416 
iter  10 value 94.489380
iter  20 value 94.484538
iter  30 value 94.484394
iter  40 value 93.676916
iter  50 value 83.441818
iter  60 value 80.584118
iter  70 value 80.527243
final  value 80.527225 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.344972 
iter  10 value 94.489170
iter  20 value 94.484310
iter  30 value 94.424971
iter  40 value 92.752982
iter  50 value 87.311397
iter  60 value 85.856882
iter  70 value 84.911103
iter  80 value 84.774394
iter  90 value 84.757099
iter 100 value 84.661311
final  value 84.661311 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 95.625321 
iter  10 value 94.320666
iter  20 value 94.319959
iter  30 value 94.313386
iter  40 value 94.312032
iter  50 value 94.311237
iter  60 value 93.587821
iter  70 value 93.568753
iter  80 value 92.708738
iter  90 value 92.708625
final  value 92.708621 
converged
Fitting Repeat 5 

# weights:  305
initial  value 109.395564 
iter  10 value 94.359344
iter  20 value 91.837074
iter  30 value 88.065256
iter  40 value 83.533193
iter  50 value 82.699546
iter  60 value 82.299463
iter  70 value 82.206138
final  value 82.199564 
converged
Fitting Repeat 1 

# weights:  507
initial  value 104.978197 
iter  10 value 94.481196
iter  20 value 94.475578
iter  30 value 85.860029
iter  40 value 84.009522
iter  50 value 84.008974
iter  60 value 84.001960
iter  70 value 80.914232
iter  80 value 80.132491
iter  90 value 80.127380
iter 100 value 79.452168
final  value 79.452168 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 102.673928 
iter  10 value 91.783751
iter  20 value 81.749307
iter  30 value 81.407929
final  value 81.407009 
converged
Fitting Repeat 3 

# weights:  507
initial  value 100.851412 
iter  10 value 94.362247
iter  20 value 94.354616
final  value 94.354527 
converged
Fitting Repeat 4 

# weights:  507
initial  value 106.359268 
iter  10 value 94.353343
iter  20 value 94.348288
iter  30 value 91.544291
iter  40 value 88.323744
iter  50 value 88.073355
iter  60 value 87.599209
iter  70 value 87.409854
iter  80 value 87.408732
iter  90 value 83.978835
iter 100 value 81.215195
final  value 81.215195 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 109.457073 
iter  10 value 94.362131
iter  20 value 94.354292
iter  30 value 92.205383
iter  40 value 81.256282
iter  50 value 81.205901
iter  60 value 81.205788
iter  70 value 81.203380
iter  80 value 81.201509
iter  90 value 80.319606
iter 100 value 79.748977
final  value 79.748977 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 154.296939 
iter  10 value 117.895917
iter  20 value 116.567115
iter  30 value 107.010799
iter  40 value 107.004727
iter  50 value 107.004621
final  value 107.004583 
converged
Fitting Repeat 2 

# weights:  305
initial  value 140.830949 
iter  10 value 117.870564
iter  20 value 117.866235
final  value 117.866073 
converged
Fitting Repeat 3 

# weights:  305
initial  value 157.590191 
iter  10 value 117.895336
iter  20 value 115.210025
iter  30 value 107.428798
iter  40 value 104.251459
iter  50 value 103.926160
iter  60 value 103.919259
iter  70 value 103.895296
iter  80 value 103.851789
iter  90 value 103.611405
iter 100 value 103.558964
final  value 103.558964 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 128.241605 
iter  10 value 117.210692
iter  20 value 117.206686
final  value 117.206618 
converged
Fitting Repeat 5 

# weights:  305
initial  value 129.044388 
iter  10 value 117.763616
iter  20 value 117.744721
iter  30 value 113.042371
iter  40 value 107.446928
iter  50 value 100.478001
iter  60 value 99.967716
iter  70 value 99.678283
iter  80 value 99.481000
iter  90 value 99.455378
iter 100 value 99.454631
final  value 99.454631 
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 -- Mon Mar  9 00:14:45 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 
 40.330   0.827 102.654