ptPLSc: post transformed PLS

In powerPLS: Power Analysis for PLS Classification

post transformed PLS

Description

Performs post transformed Partial Least Squares

Usage

ptPLSc(X, Y, W)

Arguments

X	Data matrix where columns represent the p variables and rows the n observations.
Y	Vector of class probabilities
W	Weight matrix where columns represent the A components and rows the X variables.

Value

List with the following objects:

W

Matrix of weights

G

Post transformation matrix

M

Number of orthogonal components

Author(s)

Angela Andreella

References

Stocchero, M., & Paris, D. (2016). Post-transformation of PLS2 (ptPLS2) by orthogonal matrix: a new approach for generating predictive and orthogonal latent variables. Journal of Chemometrics, 30(5), 242-251.

See Also

PLSc, computeWT

powerPLS documentation built on April 4, 2025, 1:57 a.m.