ipls.backward: Runs the backward iPLS algorithm
In mdatools: Multivariate Data Analysis for Chemometrics

ipls.backward

R Documentation

Runs the backward iPLS algorithm

Runs the backward iPLS algorithm

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

`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.