ipls.backward: Runs the backward iPLS algorithm

In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics

Runs the backward iPLS algorithm

Description

Runs the backward iPLS algorithm

Usage

ipls.backward(x, y, obj, int.stat, glob.stat, full, cv.scope)

Arguments

x	a matrix with predictor values.
y	a vector with response values.
obj	object with initial settings for iPLS algorithm.
int.stat	data frame with initial interval statistics.
glob.stat	data frame with initial global statistics.
full	logical, if TRUE the procedure will continue even if no improvements is observed.
cv.scope	scope for center/scale operations inside CV loop: 'global' — using globally computed mean and std or 'local' — recompute new for each local calibration set.

svkucheryavski/mdatools documentation built on Aug. 25, 2023, 12:27 p.m.