Tri-PLS1: three-way PLS regressed onto a y vector

Tri-PLS1: three-way PLS regressed onto a y vector

Usage

triPLS1(X, y, numComponents, tol = 1e-10, maxIter = 100)

Arguments

X

Centered tensor of independent data

y

Centered dependent variable

numComponents

Number of components to fit

tol

Relative change in loss for the model to converge (default 1e-10).

maxIter

Maximum number of iterations (default 100).

Value

Model

Examples

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)