plo_ctr: Plot of weights

In morepls: Interpretation Tools for Partial Least Squares Regression

Plot of weights

Description

Plots the weights of X variables from a PLS regression.

Usage

plo_ctr(object, comp = 1, sort = FALSE, col = "tomato4", repel = FALSE)

Arguments

object	an object of class mvr from pls package
comp	the component to use. Default is 1.
sort	logical. If TRUE, bars are sorted by decreasing VIPs. Default is FALSE.
col	color of the bars
repel	logical. If TRUE, the names of the variables are repelled with geom_text_repel. Default is FALSE

Details

According to Tenenhaus, the contribution of a variable to the construction of a component is measured by the squared loading weight. For a given component, the sum af the squared loading weights is equal to 1. This plot represents the loading weights, which keeps the information about their sign. Dashed lines are added at +/- sqrt(1/p), with p the number of X variables, which corresponds to the average contribution to the construction of the component.

Value

a ggplot2 object

Author(s)

Nicolas Robette

References

Martens, H., Næs, T. (1989) Multivariate calibration. Chichester: Wiley.

Tenenhaus, M. (1998) La Regression PLS. Theorie et Pratique. Editions TECHNIP, Paris.

See Also

plo_coef, plo_vip

Examples

library(pls)
data(yarn)
pls <- mvr(density ~ NIR,
           ncomp = 5,
           data = yarn,
           validation = "CV",
           method = "oscorespls")
plo_ctr(pls)

morepls documentation built on June 8, 2025, 10:34 a.m.