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lsplsGlm  

Classification using LS-PLS for Logistic Regression
View on CRAN: Click here


Download and install lsplsGlm package within the R console
Install from CRAN:
install.packages("lsplsGlm")

Install from Github:
library("remotes")
install_github("cran/lsplsGlm")

Install by package version:
library("remotes")
install_version("lsplsGlm", "1.0")



Attach the package and use:
library("lsplsGlm")
Maintained by
Bazzoli Caroline
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-27
Latest Update:
Description:
Fit logistic regression models using LS-PLS approaches to analyse both clinical and genomic data. (C. Bazzoli and S. Lambert-Lacroix. (2017) Classification using LS-PLS with logistic regression based on both clinical and gene expression variables ).
How to cite:
Bazzoli Caroline (2017). lsplsGlm: Classification using LS-PLS for Logistic Regression. R package version 1.0, https://cran.r-project.org/web/packages/lsplsGlm. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:54), 1.0 (2017-07-27 12:34)
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