vipscores: VIP scores for PLS model

In mdatools: Multivariate Data Analysis for Chemometrics

VIP scores for PLS model

Description

Calculates VIP (Variable Importance in Projection) scores for predictors for given number of components and response variable.

Usage

vipscores(obj, ncomp = obj$ncomp.selected)

Arguments

obj	a PLS model (object of class pls)
ncomp	number of components to count

Details

May take some time in case of large number of predictors Returns results as a column-vector, with all necessary attributes inherited (e.g. xaxis.values, excluded variables, etc.). If you want to make a plot use for example: mdaplot(mda.t(v), type = "l"), where v is a vector with computed VIP scores. Or just try plotVIPScores.pls.

Value

matrix nvar x ny with VIP score values (columns correspond to responses).

References

[1] Il-Gyo Chong, Chi-Hyuck Jun. Chemometrics and Laboratory Systems, 78 (2005), pp. 103-112.

mdatools documentation built on Sept. 11, 2024, 7:59 p.m.