ipls.backward {mdatools}

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.