Benchmarking PLS2 Implementations
Frédéric Bertrand
Cedric, Cnam, Parisfrederic.bertrand@lecnam.net
2025-11-18
Source:vignettes/pls2-benchmark.Rmd
pls2-benchmark.RmdOverview
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.
Recent additions
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.
Simulated data
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 benchmarks
internal_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 3ms 3.06ms 326. 2.04MB 0
#> 2 streaming_simpls 1.66ms 1.68ms 592. 628.94KB 0
#> 3 dense_nipals 9.86ms 9.96ms 100. 574.56KB 0
#> 4 streaming_nipals 27.85ms 28.03ms 34.0 658.29KB 0The dense path again excels when memory allows, whereas the streaming backend prioritises scalability via block-wise processing.
External references
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.
Key messages
- Dense SIMPLS remains the fastest option for well-sized dense matrices.
- Streaming NIPALS offers robustness when responses are numerous or when the predictor matrix is file-backed.
- External comparisons help position bigPLSR relative to established alternatives without adding heavyweight dependencies to the vignette.