ptPLSc {powerPLS}R Documentation

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 k X variables.

Value

Returns a matrix of scores vectors Tscore.

Returns a list with the following objects: - W: matrix of weights - 6: 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.


[Package powerPLS version 0.1.0 Index]