get_weights: Computes the weights for pls regressions

View source: R/RcppExports.R

get_weightsR Documentation

Computes the weights for pls regressions

Description

This is an internal function that computes the wights required for obtaining each vector of pls scores. Implementation is done in C++ for improved performance.

Usage

get_weights(X, Y, algorithm = "pls", xls_min_w = 3L, xls_max_w = 15L)

Arguments

X

a numeric matrix of spectral data.

Y

a matrix of one column with the response variable.

algorithm

a character string indicating what method to use. Options are: 'pls' for pls (using covariance between X and Y), 'mpls' for modified pls (using correlation between X and Y as in Shenk and Westerhaus, 1991; Westerhaus 2014) or 'xls' for extended pls (as implemented in BUCHI NIRWise PLUS software).

xls_min_w

an integer indicating the minimum window size for the "xls" method. Only used if algorithm = 'xls'. Default is 3 (as in BUCHI NIRWise PLUS software).

xls_max_w

an integer indicating the maximum window size for the "xls" method. Only used if algorithm = 'xls'. Default is 15 (as in BUCHI NIRWise PLUS software).

Value

a matrix of one column containing the weights.

Author(s)

Leonardo Ramirez-Lopez and Claudio Orellano

References

Shenk, J. S., & Westerhaus, M. O. (1991). Populations structuring of near infrared spectra and modified partial least squares regression. Crop Science, 31(6), 1548-1555.

Westerhaus, M. (2014). Eastern Analytical Symposium Award for outstanding Wachievements in near infrared spectroscopy: my contributions to Wnear infrared spectroscopy. NIR news, 25(8), 16-20.


resemble documentation built on May 29, 2024, 8:49 a.m.