Learn R Programming

powerPLS (version 0.2.1)

ptPLSc: post transformed PLS

Description

Performs post transformed Partial Least Squares

Usage

ptPLSc(X, Y, W)

Value

List with the following objects:

W

Matrix of weights

G

Post transformation matrix

M

Number of orthogonal components

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.

Author

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