README.md

In morepls: Interpretation Tools for Partial Least Squares Regression

morepls

Interpretation tools for PLS regression

morepls provides functions for the interpretation of PLS regressions.

The documentation is available here: https://nicolas-robette.frama.io/morepls/

Graphical functions :

• two-dimensional plot of observations
• two-dimensional plot of correlations between variables and components
• two-dimensional plot of variables (Y loadings and X projections)
• two-dimensional plot of supplementary variables
• two-dimensional plot of interaction between two supplementary variables
• two-dimensional plot of main and partial effects of a supplementary variable
• bar plot of regression coefficients
• bar plot of X variables weights
• bar plot of X variables VIPs

Statistical indicators :

• correlations between variables and components
• R2 and redundancies between variables and components
• Q2 and cumulative Q2 indexes
• raw and standardized coefficients

Installation

Execute the following code within R:

if (!require(devtools)){
    install.packages('devtools')
    library(devtools)
}
install_git("https://framagit.org/nicolas-robette/morepls")

Citation

To cite morepls in publications, use :

Robette N. (2025), morepls : Interpretation tools for PLS regression in R, version 0.2, https://nicolas-robette.frama.io/morepls/

References

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

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

The image in the hex sticker is outrageously taken from https://moreplease.com/ from Iain Merrick.

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