triPLS1 {NPLStoolbox} | R Documentation |
Tri-PLS1: three-way PLS regressed onto a y vector
Description
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)
[Package NPLStoolbox version 1.0.0 Index]