Running 'testthat.R' [180s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(dimRed)
  Loading required package: DRR
  Loading required package: kernlab
  Loading required package: CVST
  Loading required package: Matrix
  
  Attaching package: 'dimRed'
  
  The following object is masked from 'package:stats':
  
      embed
  
  The following object is masked from 'package:base':
  
      as.data.frame
  
  > 
  > test_check("dimRed")
  predictors:  PC1 PC2 dependent:  PC3 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 1308.257 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 674.3323 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 20151749 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 61608.71 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.3081814 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.3327201 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.4641149 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.4910693 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5022136 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5064058 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5490496 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1511197 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1148861 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3233209 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4642529 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4910734 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4995123 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5045226 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5128731 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1751656 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1114822 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.3224316 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4640073 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.49111 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4985456 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.5007601 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.5074983 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2214996 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1328098 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.3342083 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4664661 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4914464 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.4968629 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.4989755 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.5032628 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.3856023 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.235227 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.3944771 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.4789079 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.4932168 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.4961126 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.4969846 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.4991727 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.4772621 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.4258991 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.4739756 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.4923766 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.4950988 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.4957989 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.4958716 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.4962413 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.4936673 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.4870481 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.4930854 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.4951865 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.4954856 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 57569.49 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 9659.581 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 61744735 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 139043044 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 7.917982e+12 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 4.044925e+12 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 9698624 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 41.69661 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.239287 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.244135 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.239977 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.280832 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.95659 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 4.932584 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 4.599001 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.943557 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.23899 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.238839 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.233651 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.278394 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.372787 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.912533 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.887428 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.681148 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.237314 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.23978 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.237918 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.254225 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.337665 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.447622 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.555251 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.490409 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 2.235181 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 2.237669 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 2.241741 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 2.233009 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 2.295021 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 2.313512 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 2.305225 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 2.276814 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 2.23174 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 2.233144 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 2.236904 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 2.223043 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 2.225704 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 2.226086 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 2.218932 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 2.224184 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 2.224446 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 2.22449 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 2.224043 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 2.218176 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 2.215889 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 2.216327 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 2.216349 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 2.217257 )
  trace= 0 
  predictors:  PC1 PC2 PC3 dependent:  PC4 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 1592079 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 48.88954 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 284.2587 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 5.06214e+22 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.02372016 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 20
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
  Error in .solve.dgC.lu(as(a, "dgCMatrix"), b = b, tol = tol) : 
    LU computationally singular: ratio of extreme entries in |diag(U)| = 3.272e-259
  Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02779184 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02651638 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.03829662 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.04115129 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02338866 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02372605 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02367448 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.0253999 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02668377 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02612995 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02802503 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02356913 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02370524 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.0236745 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02367484 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02463171 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02523751 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02532714 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02388933 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.0238429 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02370309 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02367462 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02367493 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.02404889 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.02427205 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02448766 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02293285 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.02328343 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.02368443 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.02367529 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.02367546 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.0238913 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.02395906 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02401213 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02344734 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.02356367 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367647 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367602 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367605 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373598 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373926 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02374086 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02364719 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.02366282 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.0236762 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.02367617 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.02367618 )
  predictors:  PC1 PC2 dependent:  PC3 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 784.5985 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 736926.5 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 7.91467e+17 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 1871.35 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.07290823 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 12
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.07503882 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.07548114 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08767416 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08266272 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08980195 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1832043 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07762969 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07408128 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.075041 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07548306 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08615269 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08535871 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08203821 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.09308875 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07612814 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07360714 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07506116 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07550018 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08308919 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08734639 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07700707 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07543269 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07572488 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.0739395 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07524902 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07565807 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.08219796 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.082854 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.08283545 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.07335498 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.07390868 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.07558155 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07626639 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07651293 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.08071899 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.08122844 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.08221327 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.07806974 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.07649647 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.07722188 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07741497 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07746377 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.07855537 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.07857956 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07858032 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07780906 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.07755057 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.07763638 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.07765804 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.07766344 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 613.2377 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 1723.804 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 350226155 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 1.372055e+13 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 62701133 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 7.352443e+28 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.2316977 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.2234758 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.238527 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1971275 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1705681 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1912429 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3151353 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3100497 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2093764 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2268301 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2790203 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.194797 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1790875 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1424643 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2171466 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2153856 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2192899 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2227844 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2759688 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.237822 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1793054 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1371128 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1567108 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1875172 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2135207 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2240144 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.260737 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.2705422 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1894958 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1659771 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.1708457 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.203794 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.223115 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2312422 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.2534309 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.2557576 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2320852 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2073833 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.2184123 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.2297954 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2365819 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2390183 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.2445285 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.2446157 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.2409465 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.235675 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.2379696 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.2396475 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2405245 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2408275 )
  -- 1. Failure: rmse_by_ndim (@test_quality.R#39)  ------------------------------
  rmse_res$pca[i] - rmse_res$drr[i] + 1e-12 > 0 isn't true.
  ndim = 1, rmse pca = 0.292582141744859, rmse drr = 0.347612501687507
  
  -- 2. Failure: rmse_by_ndim (@test_quality.R#39)  ------------------------------
  rmse_res$pca[i] - rmse_res$drr[i] + 1e-12 > 0 isn't true.
  ndim = 2, rmse pca = 0.159188799644944, rmse drr = 0.277210170854598
  
  == testthat results  ===========================================================
  OK: 112 SKIPPED: 0 FAILED: 2
  1. Failure: rmse_by_ndim (@test_quality.R#39) 
  2. Failure: rmse_by_ndim (@test_quality.R#39) 
  
  Error: testthat unit tests failed
  Execution halted