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The package offers dense (pls2_dense) and streaming
(pls2_stream) solvers for multi-response partial least
squares regression (PLS2). This vignette demonstrates how to benchmark
both variants on a synthetic dataset featuring three correlated response
variables.
Beyond the dense and streaming SIMPLS/NIPALS solvers, bigPLSR now
ships with Kalman-filter PLS (algorithm = "kf_pls"),
double-RKHS modelling (algorithm = "rkhs_xy") and optional
coefficient thresholding. The resampling helpers
(pls_cross_validate(), pls_bootstrap()) can
also leverage the future ecosystem
for parallel execution.
To benchmark these variants simply change the algorithm
parameter in the chunks below, for example:
bench::mark(
dense = pls_fit(X[], Y_mat, ncomp = ncomp, algorithm = "rkhs_xy"),
streaming = pls_fit(X, Y, ncomp = ncomp, backend = "bigmem",
algorithm = "kf_pls", chunk_size = 1024L)
)and remember to reset your future plan after enabling
parallelism:
future::plan(future::multisession, workers = 2)
pls_cross_validate(X[], Y_mat, ncomp = 4, folds = 3,
parallel = TRUE)
future::plan(future::sequential)Multi-response benchmarks follow the same principles as the PLS1
case. We focus on the pls_fit() API and contrast its dense
and streaming backends before reporting the stored results against
third-party packages.
n <- 1200
p <- 60
q <- 3
ncomp <- 4
X <- bigmemory::big.matrix(nrow = n, ncol = p, type = "double")
X[,] <- matrix(rnorm(n * p), nrow = n)
loading_matrix <- matrix(rnorm(p * q), nrow = p)
latent_scores <- matrix(rnorm(n * q), nrow = n)
Y_mat <- scale(latent_scores %*% t(loading_matrix[1:q, , drop = FALSE]) +
matrix(rnorm(n * q, sd = 0.5), nrow = n))
Y <- bigmemory::big.matrix(nrow = n, ncol = q, type = "double")
Y[,] <- Y_mat
X[1:6, 1:6]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -1.3435214 -0.348899457 0.70772263 1.1760806 0.05196595 0.6838164
#> [2,] 0.6217756 1.068279438 -1.17880479 -0.8208425 -1.50933535 -0.8963854
#> [3,] 0.8008747 -0.005793261 -0.04600936 -0.8817557 0.17372573 -1.2315819
#> [4,] -1.3888924 0.560411440 -1.15682882 -1.1538845 -1.26526869 -0.3837956
#> [5,] -0.7143569 2.533318058 -1.47324626 0.2554595 -0.25199313 1.1685923
#> [6,] -0.3240611 0.436737176 0.48330946 0.2118484 0.47779676 1.1944133
Y[1:6, 1:min(6, q)]
#> [,1] [,2] [,3]
#> [1,] 1.8176535 -0.431537115 -0.24548255
#> [2,] 1.1617501 -1.573377901 -1.21506233
#> [3,] -0.4016607 0.412473967 -0.03420375
#> [4,] -0.9068912 1.328097496 0.67450957
#> [5,] 1.2561929 -0.839498415 -1.71712784
#> [6,] 0.5802884 -0.006450224 1.41649712internal_bench <- bench::mark(
dense_simpls = pls_fit(as.matrix(X[]), Y_mat, ncomp = ncomp,
backend = "arma", algorithm = "simpls"),
streaming_simpls = pls_fit(X, Y, ncomp = ncomp, backend = "bigmem",
algorithm = "simpls", chunk_size = 512L),
dense_nipals = pls_fit(as.matrix(X[]), Y_mat, ncomp = ncomp,
backend = "arma", algorithm = "nipals"),
streaming_nipals = pls_fit(X, Y, ncomp = ncomp, backend = "bigmem",
algorithm = "nipals", chunk_size = 512L),
iterations = 15,
check = FALSE
)
internal_bench
#> # A tibble: 4 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 dense_simpls 3.01ms 3.12ms 318. 604KB 0
#> 2 streaming_simpls 1.67ms 1.69ms 590. 629KB 0
#> 3 dense_nipals 9.81ms 10.07ms 99.2 571KB 0
#> 4 streaming_nipals 27.92ms 28.24ms 35.4 643KB 0The dense path again excels when memory allows, whereas the streaming backend prioritises scalability via block-wise processing.
data("external_pls_benchmarks", package = "bigPLSR")
subset(external_pls_benchmarks, task == "pls2")
#> task algorithm package median_time_s itr_per_sec
#> 49 pls2 simpls bigPLSR_dense 7.120081e-03 1.399652e+02
#> 50 pls2 simpls bigPLSR_big.memory 3.834689e-03 2.545964e+02
#> 51 pls2 simpls pls 3.482007e-03 2.860761e+02
#> 52 pls2 simpls mixOmics 5.855128e-03 1.691964e+02
#> 53 pls2 kernelpls bigPLSR_dense 5.264746e-02 1.899056e+01
#> 54 pls2 kernelpls bigPLSR_big.memory 5.652055e-04 1.701649e+03
#> 55 pls2 kernelpls pls 3.451585e-03 2.885003e+02
#> 56 pls2 kernelpls mixOmics 5.765769e-03 1.732900e+02
#> 57 pls2 widekernelpls bigPLSR_dense 4.605411e-02 2.171396e+01
#> 58 pls2 widekernelpls bigPLSR_big.memory 2.186694e-03 4.521202e+02
#> 59 pls2 widekernelpls pls 2.413531e-02 4.138397e+01
#> 60 pls2 widekernelpls mixOmics 1.908312e-02 5.244135e+01
#> 61 pls2 nipals bigPLSR_dense 1.175341e-02 8.437194e+01
#> 62 pls2 nipals bigPLSR_big.memory 2.194955e-02 4.561655e+01
#> 63 pls2 nipals pls 2.618026e-02 3.827063e+01
#> 64 pls2 nipals mixOmics 5.808839e-03 1.719635e+02
#> 65 pls2 simpls bigPLSR_dense 7.172253e-03 1.380721e+02
#> 66 pls2 simpls bigPLSR_big.memory 3.827104e-03 2.563459e+02
#> 67 pls2 simpls pls 4.212176e-03 2.369476e+02
#> 68 pls2 simpls mixOmics 1.178188e-02 8.491185e+01
#> 69 pls2 kernelpls bigPLSR_dense 6.769330e-02 1.466727e+01
#> 70 pls2 kernelpls bigPLSR_big.memory 1.182112e-03 8.162977e+02
#> 71 pls2 kernelpls pls 4.161131e-03 2.391603e+02
#> 72 pls2 kernelpls mixOmics 1.177631e-02 8.404231e+01
#> 73 pls2 widekernelpls bigPLSR_dense 8.934355e-02 1.118655e+01
#> 74 pls2 widekernelpls bigPLSR_big.memory 5.242937e-03 1.866432e+02
#> 75 pls2 widekernelpls pls 2.966153e-02 3.379981e+01
#> 76 pls2 widekernelpls mixOmics 3.831171e-02 2.610168e+01
#> 77 pls2 nipals bigPLSR_dense 4.063383e-02 2.456427e+01
#> 78 pls2 nipals bigPLSR_big.memory 1.075419e-01 9.301410e+00
#> 79 pls2 nipals pls 7.387882e-02 1.353426e+01
#> 80 pls2 nipals mixOmics 1.172631e-02 8.565988e+01
#> 81 pls2 simpls bigPLSR_dense 7.425654e-03 1.346546e+02
#> 82 pls2 simpls bigPLSR_big.memory 4.044650e-03 2.431415e+02
#> 83 pls2 simpls pls 7.231929e-03 1.378009e+02
#> 84 pls2 simpls mixOmics 3.237143e-02 3.072704e+01
#> 85 pls2 kernelpls bigPLSR_dense 1.224882e-01 8.164049e+00
#> 86 pls2 kernelpls bigPLSR_big.memory 3.494451e-03 2.748492e+02
#> 87 pls2 kernelpls pls 7.494862e-03 1.348653e+02
#> 88 pls2 kernelpls mixOmics 3.303632e-02 3.030338e+01
#> 89 pls2 widekernelpls bigPLSR_dense 2.394804e-01 4.144136e+00
#> 90 pls2 widekernelpls bigPLSR_big.memory 1.648811e-02 5.921678e+01
#> 91 pls2 widekernelpls pls 6.210118e-02 1.105851e+01
#> 92 pls2 widekernelpls mixOmics 1.246962e-01 6.579412e+00
#> 93 pls2 nipals bigPLSR_dense 9.577266e-02 1.042355e+01
#> 94 pls2 nipals bigPLSR_big.memory 4.760183e-01 2.098655e+00
#> 95 pls2 nipals pls 1.941141e-01 5.150694e+00
#> 96 pls2 nipals mixOmics 3.304953e-02 3.008813e+01
#> 97 pls2 simpls bigPLSR_dense 1.932603e-02 5.127135e+01
#> 98 pls2 simpls bigPLSR_big.memory 9.015121e-03 1.101052e+02
#> 99 pls2 simpls pls 1.770130e-02 5.637404e+01
#> 100 pls2 simpls mixOmics 1.900584e-02 5.264451e+01
#> 101 pls2 kernelpls bigPLSR_dense 6.007267e-02 1.663928e+01
#> 102 pls2 kernelpls bigPLSR_big.memory 8.541325e-04 1.121615e+03
#> 103 pls2 kernelpls pls 1.775359e-02 5.651641e+01
#> 104 pls2 kernelpls mixOmics 1.887583e-02 5.293168e+01
#> 105 pls2 widekernelpls bigPLSR_dense 4.742109e-02 2.099435e+01
#> 106 pls2 widekernelpls bigPLSR_big.memory 3.370958e-03 2.934597e+02
#> 107 pls2 widekernelpls pls 2.681298e-02 3.779052e+01
#> 108 pls2 widekernelpls mixOmics 7.449075e-02 1.343417e+01
#> 109 pls2 nipals bigPLSR_dense 3.911978e-02 2.555092e+01
#> 110 pls2 nipals bigPLSR_big.memory 7.650871e-02 1.305760e+01
#> 111 pls2 nipals pls 4.743122e-02 2.107277e+01
#> 112 pls2 nipals mixOmics 1.906176e-02 5.255502e+01
#> 113 pls2 simpls bigPLSR_dense 2.247368e-02 4.445638e+01
#> 114 pls2 simpls bigPLSR_big.memory 1.244026e-02 8.001525e+01
#> 115 pls2 simpls pls 2.384585e-02 4.201748e+01
#> 116 pls2 simpls mixOmics 4.853586e-02 2.053421e+01
#> 117 pls2 kernelpls bigPLSR_dense 9.047814e-02 1.105505e+01
#> 118 pls2 kernelpls bigPLSR_big.memory 1.861646e-03 5.104304e+02
#> 119 pls2 kernelpls pls 2.322777e-02 4.280268e+01
#> 120 pls2 kernelpls mixOmics 4.834396e-02 2.067876e+01
#> 121 pls2 widekernelpls bigPLSR_dense 1.031736e-01 9.566646e+00
#> 122 pls2 widekernelpls bigPLSR_big.memory 7.027215e-03 1.260660e+02
#> 123 pls2 widekernelpls pls 4.710053e-02 1.101579e+01
#> 124 pls2 widekernelpls mixOmics 2.111830e-01 4.402695e+00
#> 125 pls2 nipals bigPLSR_dense 2.074080e-01 4.814438e+00
#> 126 pls2 nipals bigPLSR_big.memory 6.856785e-01 1.458201e+00
#> 127 pls2 nipals pls 1.362973e-01 7.336902e+00
#> 128 pls2 nipals mixOmics 4.847024e-02 2.067250e+01
#> 129 pls2 simpls bigPLSR_dense 3.730465e-02 2.668616e+01
#> 130 pls2 simpls bigPLSR_big.memory 2.433875e-02 4.067987e+01
#> 131 pls2 simpls pls 4.679924e-02 2.136787e+01
#> 132 pls2 simpls mixOmics 1.503539e-01 6.650973e+00
#> 133 pls2 kernelpls bigPLSR_dense 1.967330e-01 5.078581e+00
#> 134 pls2 kernelpls bigPLSR_big.memory 5.323809e-03 1.806102e+02
#> 135 pls2 kernelpls pls 4.377998e-02 2.284149e+01
#> 136 pls2 kernelpls mixOmics 1.492201e-01 6.528839e+00
#> 137 pls2 widekernelpls bigPLSR_dense 2.908055e-01 3.362013e+00
#> 138 pls2 widekernelpls bigPLSR_big.memory 1.946467e-02 5.008337e+01
#> 139 pls2 widekernelpls pls 1.026065e-01 7.440373e+00
#> 140 pls2 widekernelpls mixOmics 6.646347e-01 1.486103e+00
#> 141 pls2 nipals bigPLSR_dense 8.330493e-01 1.196314e+00
#> 142 pls2 nipals bigPLSR_big.memory 4.391516e+00 2.276423e-01
#> 143 pls2 nipals pls 4.477764e-01 2.233258e+00
#> 144 pls2 nipals mixOmics 1.505480e-01 6.646532e+00
#> 193 pls2 simpls bigPLSR_dense 6.309363e+00 1.585065e-01
#> 194 pls2 simpls bigPLSR_big.memory 3.497791e+00 2.859247e-01
#> 195 pls2 simpls pls 3.419946e-01 2.749000e+00
#> 196 pls2 simpls mixOmics 4.503820e-01 2.097276e+00
#> 197 pls2 kernelpls bigPLSR_dense 9.432889e-01 1.040672e+00
#> 198 pls2 kernelpls bigPLSR_big.memory 5.854103e-02 1.643222e+01
#> 199 pls2 kernelpls pls 3.422486e-01 2.649781e+00
#> 200 pls2 kernelpls mixOmics 4.515143e-01 2.104715e+00
#> 201 pls2 widekernelpls bigPLSR_dense 2.145082e+01 4.673179e-02
#> 202 pls2 widekernelpls bigPLSR_big.memory 3.493717e-01 2.815957e+00
#> 203 pls2 widekernelpls pls 1.942898e+01 5.145024e-02
#> 204 pls2 widekernelpls mixOmics 2.179235e+00 4.541845e-01
#> 205 pls2 nipals bigPLSR_dense 2.068101e+00 4.517067e-01
#> 206 pls2 nipals bigPLSR_big.memory 6.296180e+00 1.591039e-01
#> 207 pls2 nipals pls 2.578546e+00 3.911680e-01
#> 208 pls2 nipals mixOmics 4.128616e-01 2.414049e+00
#> 209 pls2 simpls bigPLSR_dense 6.275229e+00 1.587181e-01
#> 210 pls2 simpls bigPLSR_big.memory 3.500080e+00 2.857462e-01
#> 211 pls2 simpls pls 3.950639e-01 2.405834e+00
#> 212 pls2 simpls mixOmics 1.071424e+00 9.621914e-01
#> 213 pls2 kernelpls bigPLSR_dense 2.457075e+00 4.057651e-01
#> 214 pls2 kernelpls bigPLSR_big.memory 1.253336e-01 7.782986e+00
#> 215 pls2 kernelpls pls 4.999669e-01 2.188557e+00
#> 216 pls2 kernelpls mixOmics 1.088277e+00 8.969374e-01
#> 217 pls2 widekernelpls bigPLSR_dense 2.853491e+01 3.500674e-02
#> 218 pls2 widekernelpls bigPLSR_big.memory 8.872444e-01 1.100254e+00
#> 219 pls2 widekernelpls pls 2.353821e+01 4.244972e-02
#> 220 pls2 widekernelpls mixOmics 4.682576e+00 2.131930e-01
#> 221 pls2 nipals bigPLSR_dense 3.676615e+00 2.591175e-01
#> 222 pls2 nipals bigPLSR_big.memory 1.409305e+01 7.101126e-02
#> 223 pls2 nipals pls 6.665440e+00 1.498888e-01
#> 224 pls2 nipals mixOmics 9.350531e-01 1.047136e+00
#> 225 pls2 simpls bigPLSR_dense 6.298712e+00 1.588801e-01
#> 226 pls2 simpls bigPLSR_big.memory 3.413522e+00 2.918573e-01
#> 227 pls2 simpls pls 6.889283e-01 1.476556e+00
#> 228 pls2 simpls mixOmics 3.093444e+00 3.257282e-01
#> 229 pls2 kernelpls bigPLSR_dense 7.988876e+00 1.244374e-01
#> 230 pls2 kernelpls bigPLSR_big.memory 3.680395e-01 2.636549e+00
#> 231 pls2 kernelpls pls 6.871629e-01 1.562790e+00
#> 232 pls2 kernelpls mixOmics 2.895363e+00 3.455009e-01
#> 233 pls2 widekernelpls bigPLSR_dense 4.852656e+01 2.059706e-02
#> 234 pls2 widekernelpls bigPLSR_big.memory 2.731539e+00 3.655164e-01
#> 235 pls2 widekernelpls pls 3.777036e+01 2.667407e-02
#> 236 pls2 widekernelpls mixOmics 1.300218e+01 7.683072e-02
#> 237 pls2 nipals bigPLSR_dense 3.606770e+01 2.770877e-02
#> 238 pls2 nipals bigPLSR_big.memory 1.341817e+02 7.466282e-03
#> 239 pls2 nipals pls 2.028668e+01 4.936161e-02
#> 240 pls2 nipals mixOmics 2.634110e+00 3.787394e-01
#> 241 pls2 simpls bigPLSR_dense 7.326091e+00 1.360943e-01
#> 242 pls2 simpls bigPLSR_big.memory 3.616469e+00 2.765349e-01
#> 243 pls2 simpls pls 1.421763e+00 7.033523e-01
#> 244 pls2 simpls mixOmics 1.531064e+00 6.531404e-01
#> 245 pls2 kernelpls bigPLSR_dense 9.506041e-01 1.051029e+00
#> 246 pls2 kernelpls bigPLSR_big.memory 6.050341e-02 1.642222e+01
#> 247 pls2 kernelpls pls 1.540560e+00 6.486713e-01
#> 248 pls2 kernelpls mixOmics 1.637565e+00 6.105833e-01
#> 249 pls2 widekernelpls bigPLSR_dense 2.182893e+01 4.539441e-02
#> 250 pls2 widekernelpls bigPLSR_big.memory 3.665587e-01 2.673948e+00
#> 251 pls2 widekernelpls pls 1.972794e+01 5.021136e-02
#> 252 pls2 widekernelpls mixOmics 7.708876e+00 1.283845e-01
#> 253 pls2 nipals bigPLSR_dense 2.752244e+00 3.290323e-01
#> 254 pls2 nipals bigPLSR_big.memory 9.417478e+00 1.063625e-01
#> 255 pls2 nipals pls 2.813499e+00 3.555340e-01
#> 256 pls2 nipals mixOmics 1.580067e+00 6.334909e-01
#> 257 pls2 simpls bigPLSR_dense 7.455953e+00 1.335826e-01
#> 258 pls2 simpls bigPLSR_big.memory 3.887993e+00 2.573655e-01
#> 259 pls2 simpls pls 1.580360e+00 6.228051e-01
#> 260 pls2 simpls mixOmics 4.498919e+00 2.220574e-01
#> 261 pls2 kernelpls bigPLSR_dense 2.906596e+00 3.341038e-01
#> 262 pls2 kernelpls bigPLSR_big.memory 1.382854e-01 6.562282e+00
#> 263 pls2 kernelpls pls 1.703039e+00 5.854046e-01
#> 264 pls2 kernelpls mixOmics 4.512791e+00 2.195872e-01
#> 265 pls2 widekernelpls bigPLSR_dense 2.963823e+01 3.379320e-02
#> 266 pls2 widekernelpls bigPLSR_big.memory 9.002348e-01 1.110139e+00
#> 267 pls2 widekernelpls pls 2.384161e+01 4.258298e-02
#> 268 pls2 widekernelpls mixOmics 2.081519e+01 4.767220e-02
#> 269 pls2 nipals bigPLSR_dense 1.408437e+01 6.962744e-02
#> 270 pls2 nipals bigPLSR_big.memory 5.705946e+01 1.759331e-02
#> 271 pls2 nipals pls 8.023360e+00 1.249047e-01
#> 272 pls2 nipals mixOmics 4.382419e+00 2.249435e-01
#> 273 pls2 simpls bigPLSR_dense 7.525037e+00 1.328067e-01
#> 274 pls2 simpls bigPLSR_big.memory 3.913807e+00 2.557014e-01
#> 275 pls2 simpls pls 2.022675e+00 4.826692e-01
#> 276 pls2 simpls mixOmics 1.420802e+01 7.038199e-02
#> 277 pls2 kernelpls bigPLSR_dense 9.697582e+00 1.012366e-01
#> 278 pls2 kernelpls bigPLSR_big.memory 3.819721e-01 2.568275e+00
#> 279 pls2 kernelpls pls 2.058282e+00 4.740146e-01
#> 280 pls2 kernelpls mixOmics 1.422527e+01 6.968572e-02
#> 281 pls2 widekernelpls bigPLSR_dense 5.718163e+01 1.737826e-02
#> 282 pls2 widekernelpls bigPLSR_big.memory 2.825720e+00 3.564109e-01
#> 283 pls2 widekernelpls pls 3.734700e+01 2.669714e-02
#> 284 pls2 widekernelpls mixOmics 6.888371e+01 1.451777e-02
#> 285 pls2 nipals bigPLSR_dense 7.541323e+01 1.294568e-02
#> 286 pls2 nipals bigPLSR_big.memory 3.811755e+02 2.620968e-03
#> 287 pls2 nipals pls 2.640921e+01 3.776758e-02
#> 288 pls2 nipals mixOmics 1.420909e+01 7.007476e-02
#> 305 pls2 simpls bigPLSR_dense 7.497711e-03 1.333907e+02
#> 306 pls2 simpls bigPLSR_big.memory 4.155473e-03 2.388086e+02
#> 307 pls2 simpls pls 7.653163e-03 1.319696e+02
#> 308 pls2 simpls mixOmics 3.350266e-02 2.994403e+01
#> 309 pls2 kernelpls bigPLSR_dense 1.242683e-01 8.035064e+00
#> 310 pls2 kernelpls bigPLSR_big.memory 3.464889e-03 2.877941e+02
#> 311 pls2 kernelpls pls 7.359172e-03 1.355891e+02
#> 312 pls2 kernelpls mixOmics 3.397613e-02 2.944409e+01
#> 313 pls2 widekernelpls bigPLSR_dense 2.407071e-01 4.129654e+00
#> 314 pls2 widekernelpls bigPLSR_big.memory 1.716645e-02 5.751937e+01
#> 315 pls2 widekernelpls pls 5.536624e-02 1.785374e+01
#> 316 pls2 widekernelpls mixOmics 1.108436e-01 8.954716e+00
#> 317 pls2 nipals bigPLSR_dense 1.190147e-01 8.344615e+00
#> 318 pls2 nipals bigPLSR_big.memory 6.515927e-01 1.534309e+00
#> 319 pls2 nipals pls 2.003472e-01 4.978335e+00
#> 320 pls2 nipals mixOmics 3.375095e-02 2.951392e+01
#> 321 pls2 simpls bigPLSR_dense 3.683102e-02 2.691890e+01
#> 322 pls2 simpls bigPLSR_big.memory 2.474278e-02 3.998584e+01
#> 323 pls2 simpls pls 4.763642e-02 2.110398e+01
#> 324 pls2 simpls mixOmics 1.520066e-01 6.573756e+00
#> 325 pls2 kernelpls bigPLSR_dense 1.968019e-01 5.079041e+00
#> 326 pls2 kernelpls bigPLSR_big.memory 5.401176e-03 1.829141e+02
#> 327 pls2 kernelpls pls 4.563501e-02 2.201507e+01
#> 328 pls2 kernelpls mixOmics 1.532541e-01 6.513871e+00
#> 329 pls2 widekernelpls bigPLSR_dense 3.034882e-01 3.284866e+00
#> 330 pls2 widekernelpls bigPLSR_big.memory 2.010958e-02 4.794885e+01
#> 331 pls2 widekernelpls pls 9.123222e-02 1.081412e+01
#> 332 pls2 widekernelpls mixOmics 6.927910e-01 1.437205e+00
#> 333 pls2 nipals bigPLSR_dense 8.576115e-01 1.165103e+00
#> 334 pls2 nipals bigPLSR_big.memory 4.315265e+00 2.308993e-01
#> 335 pls2 nipals pls 4.494351e-01 2.225018e+00
#> 336 pls2 nipals mixOmics 1.543894e-01 6.475478e+00
#> 353 pls2 simpls bigPLSR_dense 6.329638e+00 1.578499e-01
#> 354 pls2 simpls bigPLSR_big.memory 3.523030e+00 2.837708e-01
#> 355 pls2 simpls pls 5.680624e-01 1.728639e+00
#> 356 pls2 simpls mixOmics 2.844275e+00 3.526984e-01
#> 357 pls2 kernelpls bigPLSR_dense 8.436175e+00 1.187776e-01
#> 358 pls2 kernelpls bigPLSR_big.memory 3.815881e-01 2.571431e+00
#> 359 pls2 kernelpls pls 7.294291e-01 1.406790e+00
#> 360 pls2 kernelpls mixOmics 3.055918e+00 3.267786e-01
#> 361 pls2 widekernelpls bigPLSR_dense 5.111861e+01 1.950671e-02
#> 362 pls2 widekernelpls bigPLSR_big.memory 2.746516e+00 3.614256e-01
#> 363 pls2 widekernelpls pls 3.718312e+01 2.682237e-02
#> 364 pls2 widekernelpls mixOmics 1.316891e+01 7.595419e-02
#> 365 pls2 nipals bigPLSR_dense 1.014015e+01 9.799419e-02
#> 366 pls2 nipals bigPLSR_big.memory 6.524409e+01 1.531731e-02
#> 367 pls2 nipals pls 2.042867e+01 4.888707e-02
#> 368 pls2 nipals mixOmics 2.742070e+00 3.629917e-01
#> 369 pls2 simpls bigPLSR_dense 7.573426e+00 1.319950e-01
#> 370 pls2 simpls bigPLSR_big.memory 3.838224e+00 2.600652e-01
#> 371 pls2 simpls pls 1.906750e+00 5.205236e-01
#> 372 pls2 simpls mixOmics 1.425391e+01 7.011841e-02
#> 373 pls2 kernelpls bigPLSR_dense 9.608967e+00 1.033116e-01
#> 374 pls2 kernelpls bigPLSR_big.memory 3.821283e-01 2.533252e+00
#> 375 pls2 kernelpls pls 2.043786e+00 4.870992e-01
#> 376 pls2 kernelpls mixOmics 1.440603e+01 6.912951e-02
#> 377 pls2 widekernelpls bigPLSR_dense 5.716155e+01 1.748790e-02
#> 378 pls2 widekernelpls bigPLSR_big.memory 2.786712e+00 3.590855e-01
#> 379 pls2 widekernelpls pls 3.827468e+01 2.613465e-02
#> 380 pls2 widekernelpls mixOmics 6.871450e+01 1.454585e-02
#> 381 pls2 nipals bigPLSR_dense 8.504559e+01 1.114233e-02
#> 382 pls2 nipals bigPLSR_big.memory 4.164587e+02 2.398284e-03
#> 383 pls2 nipals pls 2.660601e+01 3.759870e-02
#> 384 pls2 nipals mixOmics 1.427050e+01 6.975301e-02
#> mem_alloc_bytes n p q ncomp
#> 49 103024 1000 100 10 1
#> 50 982272 1000 100 10 1
#> 51 8479304 1000 100 10 1
#> 52 8318896 1000 100 10 1
#> 53 42452360 1000 100 10 1
#> 54 900528 1000 100 10 1
#> 55 8436448 1000 100 10 1
#> 56 8190272 1000 100 10 1
#> 57 12968760 100 5000 10 1
#> 58 4530928 100 5000 10 1
#> 59 35414384 100 5000 10 1
#> 60 34578992 100 5000 10 1
#> 61 14080 1000 100 10 1
#> 62 915560 1000 100 10 1
#> 63 13434968 1000 100 10 1
#> 64 8190272 1000 100 10 1
#> 65 106512 1000 100 10 3
#> 66 985760 1000 100 10 3
#> 67 9444440 1000 100 10 3
#> 68 13388032 1000 100 10 3
#> 69 42471848 1000 100 10 3
#> 70 920016 1000 100 10 3
#> 71 9402656 1000 100 10 3
#> 72 13388032 1000 100 10 3
#> 73 13130648 100 5000 10 3
#> 74 4692816 100 5000 10 3
#> 75 39041656 100 5000 10 3
#> 76 54606752 100 5000 10 3
#> 77 17568 1000 100 10 3
#> 78 931360 1000 100 10 3
#> 79 24566632 1000 100 10 3
#> 80 13388032 1000 100 10 3
#> 81 118272 1000 100 10 10
#> 82 997520 1000 100 10 10
#> 83 12918736 1000 100 10 10
#> 84 31625968 1000 100 10 10
#> 85 42539608 1000 100 10 10
#> 86 987776 1000 100 10 10
#> 87 12874168 1000 100 10 10
#> 88 31625968 1000 100 10 10
#> 89 13696808 100 5000 10 10
#> 90 5258976 100 5000 10 10
#> 91 53342272 100 5000 10 10
#> 92 127150688 100 5000 10 10
#> 93 29328 1000 100 10 10
#> 94 1004720 1000 100 10 10
#> 95 54886008 1000 100 10 10
#> 96 31625968 1000 100 10 10
#> 97 252960 1000 100 100 1
#> 98 1851360 1000 100 100 1
#> 99 18594944 1000 100 100 1
#> 100 14977592 1000 100 100 1
#> 101 42528600 1000 100 100 1
#> 102 1695072 1000 100 100 1
#> 103 18575032 1000 100 100 1
#> 104 14800240 1000 100 100 1
#> 105 16573000 100 5000 100 1
#> 106 8205472 100 5000 100 1
#> 107 43570672 100 5000 100 1
#> 108 38867640 100 5000 100 1
#> 109 90320 1000 100 100 1
#> 110 1778512 1000 100 100 1
#> 111 23817480 1000 100 100 1
#> 112 14800240 1000 100 100 1
#> 113 257760 1000 100 100 3
#> 114 1856160 1000 100 100 3
#> 115 27460048 1000 100 100 3
#> 116 24555680 1000 100 100 3
#> 117 42549400 1000 100 100 3
#> 118 1715872 1000 100 100 3
#> 119 27405544 1000 100 100 3
#> 120 24555680 1000 100 100 3
#> 121 16736200 100 5000 100 3
#> 122 8368672 100 5000 100 3
#> 123 62765600 100 5000 100 3
#> 124 66586440 100 5000 100 3
#> 125 95120 1000 100 100 3
#> 126 1800912 1000 100 100 3
#> 127 44869208 1000 100 100 3
#> 128 24555680 1000 100 100 3
#> 129 274560 1000 100 100 10
#> 130 1872960 1000 100 100 10
#> 131 56015344 1000 100 100 10
#> 132 58798008 1000 100 100 10
#> 133 42622200 1000 100 100 10
#> 134 1788672 1000 100 100 10
#> 135 55928376 1000 100 100 10
#> 136 58798008 1000 100 100 10
#> 137 17307400 100 5000 100 10
#> 138 8939872 100 5000 100 10
#> 139 131220112 100 5000 100 10
#> 140 166101528 100 5000 100 10
#> 141 111920 1000 100 100 10
#> 142 1879312 1000 100 100 10
#> 143 116080232 1000 100 100 10
#> 144 58798008 1000 100 100 10
#> 193 8210224 10000 1000 10 1
#> 194 89002272 10000 1000 10 1
#> 195 732448600 10000 1000 10 1
#> 196 657916048 10000 1000 10 1
#> 197 194448 10000 1000 10 1
#> 198 80986128 10000 1000 10 1
#> 199 732288928 10000 1000 10 1
#> 200 657916048 10000 1000 10 1
#> 201 1245640176 1000 50000 10 1
#> 202 405290128 1000 50000 10 1
#> 203 3305468960 1000 50000 10 1
#> 204 3225391600 1000 50000 10 1
#> 205 122080 10000 1000 10 1
#> 206 81082272 10000 1000 10 1
#> 207 854535432 10000 1000 10 1
#> 208 657916048 10000 1000 10 1
#> 209 8242512 10000 1000 10 3
#> 210 89034560 10000 1000 10 3
#> 211 742210520 10000 1000 10 3
#> 212 997737408 10000 1000 10 3
#> 213 386736 10000 1000 10 3
#> 214 81178416 10000 1000 10 3
#> 215 741787136 10000 1000 10 3
#> 216 997737408 10000 1000 10 3
#> 217 1247256464 1000 50000 10 3
#> 218 406906416 1000 50000 10 3
#> 219 3443148112 1000 50000 10 3
#> 220 4865512960 1000 50000 10 3
#> 221 154368 10000 1000 10 3
#> 222 81290560 10000 1000 10 3
#> 223 1097484040 10000 1000 10 3
#> 224 997737408 10000 1000 10 3
#> 225 8355072 10000 1000 10 10
#> 226 89147120 10000 1000 10 10
#> 227 776353216 10000 1000 10 10
#> 228 2187598944 10000 1000 10 10
#> 229 1059296 10000 1000 10 10
#> 230 81850976 10000 1000 10 10
#> 231 775883848 10000 1000 10 10
#> 232 2187598944 10000 1000 10 10
#> 233 1252913024 1000 50000 10 10
#> 234 412562976 1000 50000 10 10
#> 235 3941532384 1000 50000 10 10
#> 236 10630434496 1000 50000 10 10
#> 237 266928 10000 1000 10 10
#> 238 82019120 10000 1000 10 10
#> 239 1938583272 10000 1000 10 10
#> 240 2187598944 10000 1000 10 10
#> 241 9656160 10000 1000 100 1
#> 242 97647360 10000 1000 100 1
#> 243 829340832 10000 1000 100 1
#> 244 723476696 10000 1000 100 1
#> 245 918688 10000 1000 100 1
#> 246 88908672 10000 1000 100 1
#> 247 829181160 10000 1000 100 1
#> 248 723476696 10000 1000 100 1
#> 249 1281644416 1000 50000 100 1
#> 250 442012672 1000 50000 100 1
#> 251 3387267744 1000 50000 100 1
#> 252 3267912248 1000 50000 100 1
#> 253 846320 10000 1000 100 1
#> 254 89726512 10000 1000 100 1
#> 255 956883960 10000 1000 100 1
#> 256 723476696 10000 1000 100 1
#> 257 9689760 10000 1000 100 3
#> 258 97680960 10000 1000 100 3
#> 259 909018352 10000 1000 100 3
#> 260 1107997096 10000 1000 100 3
#> 261 1112288 10000 1000 100 3
#> 262 89102272 10000 1000 100 3
#> 263 908594968 10000 1000 100 3
#> 264 1107997096 10000 1000 100 3
#> 265 1283262016 1000 50000 100 3
#> 266 443630272 1000 50000 100 3
#> 267 3680010256 1000 50000 100 3
#> 268 4984412648 1000 50000 100 3
#> 269 879920 10000 1000 100 3
#> 270 89936112 10000 1000 100 3
#> 271 1309070888 10000 1000 100 3
#> 272 1107997096 10000 1000 100 3
#> 273 9807360 10000 1000 100 10
#> 274 97798560 10000 1000 100 10
#> 275 1162711904 10000 1000 100 10
#> 276 2454357784 10000 1000 100 10
#> 277 1789888 10000 1000 100 10
#> 278 89779872 10000 1000 100 10
#> 279 1162242536 10000 1000 100 10
#> 280 2454357784 10000 1000 100 10
#> 281 1288923616 1000 50000 100 10
#> 282 449291872 1000 50000 100 10
#> 283 4714714672 1000 50000 100 10
#> 284 11016713336 1000 50000 100 10
#> 285 997520 10000 1000 100 10
#> 286 90669712 10000 1000 100 10
#> 287 2516549912 10000 1000 100 10
#> 288 2454357784 10000 1000 100 10
#> 305 118272 1000 100 10 10
#> 306 997520 1000 100 10 10
#> 307 12918736 1000 100 10 10
#> 308 31625968 1000 100 10 10
#> 309 42539608 1000 100 10 10
#> 310 987776 1000 100 10 10
#> 311 12874168 1000 100 10 10
#> 312 31625968 1000 100 10 10
#> 313 13696808 100 5000 10 10
#> 314 5258976 100 5000 10 10
#> 315 53417792 100 5000 10 10
#> 316 127150688 100 5000 10 10
#> 317 29328 1000 100 10 10
#> 318 1004720 1000 100 10 10
#> 319 55313416 1000 100 10 10
#> 320 31625968 1000 100 10 10
#> 321 274560 1000 100 100 10
#> 322 1872960 1000 100 100 10
#> 323 56015344 1000 100 100 10
#> 324 58798008 1000 100 100 10
#> 325 42622200 1000 100 100 10
#> 326 1788672 1000 100 100 10
#> 327 55928376 1000 100 100 10
#> 328 58798008 1000 100 100 10
#> 329 17307400 100 5000 100 10
#> 330 8939872 100 5000 100 10
#> 331 131224400 100 5000 100 10
#> 332 166101528 100 5000 100 10
#> 333 111920 1000 100 100 10
#> 334 1879312 1000 100 100 10
#> 335 116080232 1000 100 100 10
#> 336 58798008 1000 100 100 10
#> 353 8355072 10000 1000 10 10
#> 354 89147120 10000 1000 10 10
#> 355 776353216 10000 1000 10 10
#> 356 2187598944 10000 1000 10 10
#> 357 1059296 10000 1000 10 10
#> 358 81850976 10000 1000 10 10
#> 359 775883848 10000 1000 10 10
#> 360 2187598944 10000 1000 10 10
#> 361 1252913024 1000 50000 10 10
#> 362 412562976 1000 50000 10 10
#> 363 3939826208 1000 50000 10 10
#> 364 10630434496 1000 50000 10 10
#> 365 266928 10000 1000 10 10
#> 366 82019120 10000 1000 10 10
#> 367 1938503224 10000 1000 10 10
#> 368 2187598944 10000 1000 10 10
#> 369 9807360 10000 1000 100 10
#> 370 97798560 10000 1000 100 10
#> 371 1162711904 10000 1000 100 10
#> 372 2454357784 10000 1000 100 10
#> 373 1789888 10000 1000 100 10
#> 374 89779872 10000 1000 100 10
#> 375 1162242536 10000 1000 100 10
#> 376 2454357784 10000 1000 100 10
#> 377 1288923616 1000 50000 100 10
#> 378 449291872 1000 50000 100 10
#> 379 4714714672 1000 50000 100 10
#> 380 11016713336 1000 50000 100 10
#> 381 997520 10000 1000 100 10
#> 382 90669712 10000 1000 100 10
#> 383 2516549912 10000 1000 100 10
#> 384 2454357784 10000 1000 100 10
#> notes
#> 49 Run via pls_fit() with dense backend
#> 50 Run via pls_fit() with big.memory backend
#> 51 Requires the pls package
#> 52 Requires the mixOmics package
#> 53 Run via pls_fit() with dense backend
#> 54 Run via pls_fit() with big.memory backend
#> 55 Requires the pls package
#> 56 Requires the mixOmics package
#> 57 Run via pls_fit() with dense backend
#> 58 Run via pls_fit() with big.memory backend
#> 59 Requires the pls package
#> 60 Requires the mixOmics package
#> 61 Run via pls_fit() with dense backend
#> 62 Run via pls_fit() with big.memory backend
#> 63 Requires the pls package
#> 64 Requires the mixOmics package
#> 65 Run via pls_fit() with dense backend
#> 66 Run via pls_fit() with big.memory backend
#> 67 Requires the pls package
#> 68 Requires the mixOmics package
#> 69 Run via pls_fit() with dense backend
#> 70 Run via pls_fit() with big.memory backend
#> 71 Requires the pls package
#> 72 Requires the mixOmics package
#> 73 Run via pls_fit() with dense backend
#> 74 Run via pls_fit() with big.memory backend
#> 75 Requires the pls package
#> 76 Requires the mixOmics package
#> 77 Run via pls_fit() with dense backend
#> 78 Run via pls_fit() with big.memory backend
#> 79 Requires the pls package
#> 80 Requires the mixOmics package
#> 81 Run via pls_fit() with dense backend
#> 82 Run via pls_fit() with big.memory backend
#> 83 Requires the pls package
#> 84 Requires the mixOmics package
#> 85 Run via pls_fit() with dense backend
#> 86 Run via pls_fit() with big.memory backend
#> 87 Requires the pls package
#> 88 Requires the mixOmics package
#> 89 Run via pls_fit() with dense backend
#> 90 Run via pls_fit() with big.memory backend
#> 91 Requires the pls package
#> 92 Requires the mixOmics package
#> 93 Run via pls_fit() with dense backend
#> 94 Run via pls_fit() with big.memory backend
#> 95 Requires the pls package
#> 96 Requires the mixOmics package
#> 97 Run via pls_fit() with dense backend
#> 98 Run via pls_fit() with big.memory backend
#> 99 Requires the pls package
#> 100 Requires the mixOmics package
#> 101 Run via pls_fit() with dense backend
#> 102 Run via pls_fit() with big.memory backend
#> 103 Requires the pls package
#> 104 Requires the mixOmics package
#> 105 Run via pls_fit() with dense backend
#> 106 Run via pls_fit() with big.memory backend
#> 107 Requires the pls package
#> 108 Requires the mixOmics package
#> 109 Run via pls_fit() with dense backend
#> 110 Run via pls_fit() with big.memory backend
#> 111 Requires the pls package
#> 112 Requires the mixOmics package
#> 113 Run via pls_fit() with dense backend
#> 114 Run via pls_fit() with big.memory backend
#> 115 Requires the pls package
#> 116 Requires the mixOmics package
#> 117 Run via pls_fit() with dense backend
#> 118 Run via pls_fit() with big.memory backend
#> 119 Requires the pls package
#> 120 Requires the mixOmics package
#> 121 Run via pls_fit() with dense backend
#> 122 Run via pls_fit() with big.memory backend
#> 123 Requires the pls package
#> 124 Requires the mixOmics package
#> 125 Run via pls_fit() with dense backend
#> 126 Run via pls_fit() with big.memory backend
#> 127 Requires the pls package
#> 128 Requires the mixOmics package
#> 129 Run via pls_fit() with dense backend
#> 130 Run via pls_fit() with big.memory backend
#> 131 Requires the pls package
#> 132 Requires the mixOmics package
#> 133 Run via pls_fit() with dense backend
#> 134 Run via pls_fit() with big.memory backend
#> 135 Requires the pls package
#> 136 Requires the mixOmics package
#> 137 Run via pls_fit() with dense backend
#> 138 Run via pls_fit() with big.memory backend
#> 139 Requires the pls package
#> 140 Requires the mixOmics package
#> 141 Run via pls_fit() with dense backend
#> 142 Run via pls_fit() with big.memory backend
#> 143 Requires the pls package
#> 144 Requires the mixOmics package
#> 193 Run via pls_fit() with dense backend
#> 194 Run via pls_fit() with big.memory backend
#> 195 Requires the pls package
#> 196 Requires the mixOmics package
#> 197 Run via pls_fit() with dense backend
#> 198 Run via pls_fit() with big.memory backend
#> 199 Requires the pls package
#> 200 Requires the mixOmics package
#> 201 Run via pls_fit() with dense backend
#> 202 Run via pls_fit() with big.memory backend
#> 203 Requires the pls package
#> 204 Requires the mixOmics package
#> 205 Run via pls_fit() with dense backend
#> 206 Run via pls_fit() with big.memory backend
#> 207 Requires the pls package
#> 208 Requires the mixOmics package
#> 209 Run via pls_fit() with dense backend
#> 210 Run via pls_fit() with big.memory backend
#> 211 Requires the pls package
#> 212 Requires the mixOmics package
#> 213 Run via pls_fit() with dense backend
#> 214 Run via pls_fit() with big.memory backend
#> 215 Requires the pls package
#> 216 Requires the mixOmics package
#> 217 Run via pls_fit() with dense backend
#> 218 Run via pls_fit() with big.memory backend
#> 219 Requires the pls package
#> 220 Requires the mixOmics package
#> 221 Run via pls_fit() with dense backend
#> 222 Run via pls_fit() with big.memory backend
#> 223 Requires the pls package
#> 224 Requires the mixOmics package
#> 225 Run via pls_fit() with dense backend
#> 226 Run via pls_fit() with big.memory backend
#> 227 Requires the pls package
#> 228 Requires the mixOmics package
#> 229 Run via pls_fit() with dense backend
#> 230 Run via pls_fit() with big.memory backend
#> 231 Requires the pls package
#> 232 Requires the mixOmics package
#> 233 Run via pls_fit() with dense backend
#> 234 Run via pls_fit() with big.memory backend
#> 235 Requires the pls package
#> 236 Requires the mixOmics package
#> 237 Run via pls_fit() with dense backend
#> 238 Run via pls_fit() with big.memory backend
#> 239 Requires the pls package
#> 240 Requires the mixOmics package
#> 241 Run via pls_fit() with dense backend
#> 242 Run via pls_fit() with big.memory backend
#> 243 Requires the pls package
#> 244 Requires the mixOmics package
#> 245 Run via pls_fit() with dense backend
#> 246 Run via pls_fit() with big.memory backend
#> 247 Requires the pls package
#> 248 Requires the mixOmics package
#> 249 Run via pls_fit() with dense backend
#> 250 Run via pls_fit() with big.memory backend
#> 251 Requires the pls package
#> 252 Requires the mixOmics package
#> 253 Run via pls_fit() with dense backend
#> 254 Run via pls_fit() with big.memory backend
#> 255 Requires the pls package
#> 256 Requires the mixOmics package
#> 257 Run via pls_fit() with dense backend
#> 258 Run via pls_fit() with big.memory backend
#> 259 Requires the pls package
#> 260 Requires the mixOmics package
#> 261 Run via pls_fit() with dense backend
#> 262 Run via pls_fit() with big.memory backend
#> 263 Requires the pls package
#> 264 Requires the mixOmics package
#> 265 Run via pls_fit() with dense backend
#> 266 Run via pls_fit() with big.memory backend
#> 267 Requires the pls package
#> 268 Requires the mixOmics package
#> 269 Run via pls_fit() with dense backend
#> 270 Run via pls_fit() with big.memory backend
#> 271 Requires the pls package
#> 272 Requires the mixOmics package
#> 273 Run via pls_fit() with dense backend
#> 274 Run via pls_fit() with big.memory backend
#> 275 Requires the pls package
#> 276 Requires the mixOmics package
#> 277 Run via pls_fit() with dense backend
#> 278 Run via pls_fit() with big.memory backend
#> 279 Requires the pls package
#> 280 Requires the mixOmics package
#> 281 Run via pls_fit() with dense backend
#> 282 Run via pls_fit() with big.memory backend
#> 283 Requires the pls package
#> 284 Requires the mixOmics package
#> 285 Run via pls_fit() with dense backend
#> 286 Run via pls_fit() with big.memory backend
#> 287 Requires the pls package
#> 288 Requires the mixOmics package
#> 305 Run via pls_fit() with dense backend
#> 306 Run via pls_fit() with big.memory backend
#> 307 Requires the pls package
#> 308 Requires the mixOmics package
#> 309 Run via pls_fit() with dense backend
#> 310 Run via pls_fit() with big.memory backend
#> 311 Requires the pls package
#> 312 Requires the mixOmics package
#> 313 Run via pls_fit() with dense backend
#> 314 Run via pls_fit() with big.memory backend
#> 315 Requires the pls package
#> 316 Requires the mixOmics package
#> 317 Run via pls_fit() with dense backend
#> 318 Run via pls_fit() with big.memory backend
#> 319 Requires the pls package
#> 320 Requires the mixOmics package
#> 321 Run via pls_fit() with dense backend
#> 322 Run via pls_fit() with big.memory backend
#> 323 Requires the pls package
#> 324 Requires the mixOmics package
#> 325 Run via pls_fit() with dense backend
#> 326 Run via pls_fit() with big.memory backend
#> 327 Requires the pls package
#> 328 Requires the mixOmics package
#> 329 Run via pls_fit() with dense backend
#> 330 Run via pls_fit() with big.memory backend
#> 331 Requires the pls package
#> 332 Requires the mixOmics package
#> 333 Run via pls_fit() with dense backend
#> 334 Run via pls_fit() with big.memory backend
#> 335 Requires the pls package
#> 336 Requires the mixOmics package
#> 353 Run via pls_fit() with dense backend
#> 354 Run via pls_fit() with big.memory backend
#> 355 Requires the pls package
#> 356 Requires the mixOmics package
#> 357 Run via pls_fit() with dense backend
#> 358 Run via pls_fit() with big.memory backend
#> 359 Requires the pls package
#> 360 Requires the mixOmics package
#> 361 Run via pls_fit() with dense backend
#> 362 Run via pls_fit() with big.memory backend
#> 363 Requires the pls package
#> 364 Requires the mixOmics package
#> 365 Run via pls_fit() with dense backend
#> 366 Run via pls_fit() with big.memory backend
#> 367 Requires the pls package
#> 368 Requires the mixOmics package
#> 369 Run via pls_fit() with dense backend
#> 370 Run via pls_fit() with big.memory backend
#> 371 Requires the pls package
#> 372 Requires the mixOmics package
#> 373 Run via pls_fit() with dense backend
#> 374 Run via pls_fit() with big.memory backend
#> 375 Requires the pls package
#> 376 Requires the mixOmics package
#> 377 Run via pls_fit() with dense backend
#> 378 Run via pls_fit() with big.memory backend
#> 379 Requires the pls package
#> 380 Requires the mixOmics package
#> 381 Run via pls_fit() with dense backend
#> 382 Run via pls_fit() with big.memory backend
#> 383 Requires the pls package
#> 384 Requires the mixOmics packageThe stored table mirrors the structure of the PLS1 benchmark and was
produced with the script in
inst/scripts/external_pls_benchmarks.R.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.