Running ‘testthat.R’ [186s/187s]
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 ( 819997.1 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 2413.398 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 447053.7 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 4166.346 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.1774341 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.3342496 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.4835327 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.5148301 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5278496 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5337329 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5572723 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1973441 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1217161 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.326551 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4834239 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5148346 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5270571 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5303765 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5522418 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1522077 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1052025 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.3233251 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4836069 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5148711 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.5260115 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.5275717 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.533911 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2522009 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1243774 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.3337635 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4866011 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.5152097 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.5227081 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.5253981 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.5309614 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.3963252 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.2279094 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.4016332 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.5004395 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.5170087 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.5209966 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.522282 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.5250256 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.499031 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.4379903 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.4941881 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.5158014 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.5189558 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.5201484 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.5202948 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.5207692 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.5171955 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.5093456 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.5165307 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.5190108 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.519359 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 78111.37 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 6558.653 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 186638.8 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 24029831079 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 304791315341 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 4023361652 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 760757 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 611.265 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.151429 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.160649 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.166649 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.204115 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.429599 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 4.905422 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 4.738487 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.953405 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.150266 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.154064 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.16473 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.193148 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.275293 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.585728 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.813842 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.463766 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.149707 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.152746 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.162833 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.172908 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.241388 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.242336 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.372844 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.291321 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 2.142075 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 2.150071 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 2.157129 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 2.159944 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 2.176211 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 2.153827 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 2.162222 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 2.180141 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 2.136954 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 2.14062 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 2.149494 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 2.145347 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 2.145968 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 2.117026 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 2.120387 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 2.128461 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 2.130868 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 2.131362 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 2.133647 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 2.130323 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 2.12821 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 2.122752 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 2.123763 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 2.125057 )
  ── 1. Failure: check vs vegan isomap (@test_isomap.R#28)  ──────────────────────
  err < eps isn't true.
  err = 10.0283709973487, eps = 1e-13, expected err < eps
  
  predictors:  PC1 PC2 PC3 dependent:  PC4 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 236.7041 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 127.5714 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 3.783922e+21 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 0.09600257 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.02423487 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.0236956 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.02367448 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02745718 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02637106 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02644231 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.03779075 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02359014 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02369857 )
  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 ( 0.02551449 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02659551 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02709341 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02613228 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02366614 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02369569 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02367453 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02367484 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02450453 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02551438 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02610651 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02376347 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02333071 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02369538 )
  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 ( 0.02402466 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.02447364 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02493518 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02347932 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.02337429 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.02368423 )
  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 ( 0.02389148 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.02393826 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02406097 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02343614 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.02356768 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367643 )
  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 ( 0.02373603 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373998 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02374064 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02364718 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.02366279 )
  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 
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 2
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 253424.8 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 1.281397e+15 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 18
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.1018334 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.07377224 )
  Error in .local(a, b, ...) : 
    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 ( 0.07548114 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08654989 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08438612 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.0823485 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1237876 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08474609 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07392576 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07504125 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07548306 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08600482 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08980119 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07842753 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08429669 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07766 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07374244 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07506302 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07550018 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08357006 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08617205 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07971906 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.06943688 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07401974 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07401271 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07524731 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07565807 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.08222298 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.08413133 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.08363006 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.07603399 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.07318714 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.07538782 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07626577 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07651293 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.08072584 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.08119987 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.08230886 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.07780116 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.07653915 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.07722529 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07741499 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07746377 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.07855477 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.07857803 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07859017 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07781082 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.0775507 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.07763631 )
  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 ( 26167977 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 20825.19 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 1.674083e+13 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 106021548939 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 40732644 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack dgecon(): system computationally singular, reciprocal condition number = 0
  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)
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2298471 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1901681 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1901764 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4048192 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2839067 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3705111 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2335447 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2225736 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2780182 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1858824 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.184723 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1380406 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1651383 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2318598 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2180574 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2232694 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2768392 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2346475 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1804409 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1346313 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1555354 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1942369 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2129855 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2245475 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.261326 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.2670702 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.189553 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1632494 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.1717917 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.203443 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2233225 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2306293 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.2535155 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.2563245 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2313455 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2084246 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.2184063 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.2300283 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2364972 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2390473 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.2445288 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.2446056 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.240957 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.2356761 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.2379784 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.2396445 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2405228 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2408276 )
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 114 SKIPPED: 0 FAILED: 1
  1. Failure: check vs vegan isomap (@test_isomap.R#28) 
  
  Error: testthat unit tests failed
  Execution halted