Running examples in ‘mistat-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: LATHYPPISTON
> ### Title: Latin Hypercube Design for the Piston Simulator
> ### Aliases: LATHYPPISTON
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(LATHYPPISTON)
> 
> library(DiceEval)
Loading required package: DiceKriging
> 
> Dice <- km(design=LATHYPPISTON[, !names(LATHYPPISTON) %in% "seconds"], 
+             response=LATHYPPISTON[,"seconds"])

optimisation start
------------------
* estimation method   : MLE 
* optimisation method : BFGS 
* analytical gradient : used
* trend model : ~1
* covariance model : 
  - type :  matern5_2 
  - nugget : NO
  - parameters lower bounds :  1e-10 1e-10 1e-10 1e-10 1e-10 1e-10 1e-10 
  - parameters upper bounds :  60 0.03 0.016 8000 4e-04 12 40 
  - best initial criterion value(s) :  -3.903179 

N = 7, M = 5 machine precision = 2.22045e-16
At X0, 0 variables are exactly at the bounds
At iterate     0  f=       3.9032  |proj g|=       0.1313
At iterate     1  f =       3.2243  |proj g|=       0.13323
At iterate     2  f =       2.9684  |proj g|=       0.13187
At iterate     3  f =       2.4614  |proj g|=       0.11463
At iterate     4  f =        2.328  |proj g|=       0.14017
At iterate     5  f =       2.2582  |proj g|=        0.1355
At iterate     6  f =       2.2508  |proj g|=       0.13208
At iterate     7  f =       2.2501  |proj g|=        0.1329
At iterate     8  f =       2.2478  |proj g|=        0.1335
At iterate     9  f =       2.2375  |proj g|=       0.13508
At iterate    10  f =       2.2363  |proj g|=       0.13445
At iterate    11  f =       2.2359  |proj g|=       0.13374
At iterate    12  f =       2.2358  |proj g|=        0.1338
At iterate    13  f =        2.235  |proj g|=       0.13421
At iterate    14  f =       2.2333  |proj g|=       0.13463
At iterate    15  f =       2.2286  |proj g|=       0.13509
At iterate    16  f =       2.2171  |proj g|=       0.13507
At iterate    17  f =       2.1884  |proj g|=       0.13321
At iterate    18  f =       2.1217  |proj g|=       0.12645
At iterate    19  f =       1.9776  |proj g|=       0.11007
At iterate    20  f =       1.8805  |proj g|=       0.10738
At iterate    21  f =       1.7552  |proj g|=       0.10184
At iterate    22  f =       1.7501  |proj g|=      0.099237
At iterate    23  f =       1.7492  |proj g|=       0.10005
At iterate    24  f =       1.7492  |proj g|=           0.1
At iterate    25  f =       1.7492  |proj g|=       0.09999
At iterate    26  f =       1.7492  |proj g|=      0.099975
At iterate    27  f =       1.7492  |proj g|=      0.099935
At iterate    28  f =       1.7492  |proj g|=      0.099878
At iterate    29  f =       1.7491  |proj g|=      0.099776
At iterate    30  f =       1.7489  |proj g|=      0.099607
At iterate    31  f =       1.7485  |proj g|=      0.099305
At iterate    32  f =       1.7474  |proj g|=      0.098743
At iterate    33  f =       1.7444  |proj g|=      0.097642
At iterate    34  f =       1.7362  |proj g|=      0.095377
At iterate    35  f =       1.7138  |proj g|=      0.090587
At iterate    36  f =       1.6535  |proj g|=       0.08072
At iterate    37  f =       1.4949  |proj g|=       0.06292
At iterate    38  f =       1.1119  |proj g|=      0.039191
At iterate    39  f =      0.54208  |proj g|=      0.021228
At iterate    40  f =      0.30933  |proj g|=      0.012522
At iterate    41  f =      0.30681  |proj g|=      0.012472
At iterate    42  f =      0.30541  |proj g|=      0.012399
At iterate    43  f =      0.30541  |proj g|=      0.012395
At iterate    44  f =      0.30541  |proj g|=     0.0057407

iterations 44
function evaluations 52
segments explored during Cauchy searches 48
BFGS updates skipped 0
active bounds at final generalized Cauchy point 4
norm of the final projected gradient 0.00574067
final function value 0.305409

F = 0.305409
final  value 0.305409 
converged
> 
> library(DiceView)

Attaching package: ‘DiceView’

The following object is masked from ‘package:DiceKriging’:

    branin

> 
> sectionview(Dice, 
+             center=colMeans(LATHYPPISTON[, !names(LATHYPPISTON) %in% "seconds"]), 
+             conf_lev=c(0.5, 0.9, 0.95), 
+             title="", col_sur="darkgrey", lwd=2,
+             Xname=colnames(LATHYPPISTON[, !names(LATHYPPISTON) %in% "seconds"]))
Error: cannot allocate vector of size 372529.0 Gb
Execution halted