Performs post transformed Partial Least Squares
ptPLSc(X, Y, W)
List with the following objects:
Matrix of weights
Post transformation matrix
Number of orthogonal components
Data matrix where columns represent the \(p\) variables and rows the \(n\) observations.
Vector of class probabilities
Weight matrix where columns represent the \(A\) components and rows the X
variables.
Angela Andreella
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.
PLSc
, computeWT