VIP: Variable importance in projection for PLS regression
In uwadaira/plsropt: Automatically perform partial least squares (PLS) regressions under different combinations of X-variable range and preprocessing method.

1	VIP(object)

object

a model object

VIP values

Bjørn-Helge Mevik (bhx6@mevik.net)

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data(yarn)
yarn.pls <- plsr(density ~ NIR, 6, data = yarn, method = "oscorespls", validation = "CV")
VIP(yarn.pls)

uwadaira/plsropt documentation built on May 3, 2019, 2:39 p.m.

uwadaira/plsropt index

README.md

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Usage