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Tri-PLS1: three-way PLS regressed onto a y vector
triPLS1(X, y, numComponents, tol = 1e-10, maxIter = 100)
Model
Centered tensor of independent data
Centered dependent variable
Number of components to fit
Relative change in loss for the model to converge (default 1e-10).
Maximum number of iterations (default 100).
set.seed(123) X <- array(rnorm(100 * 5 * 4), dim = c(100, 5, 4)) # Random tensor (100 samples, 5 vars, 4 vars) y <- rnorm(100) # Random response variable model <- triPLS1(X, y, numComponents = 2)
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