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SCGLR  

Supervised Component Generalized Linear Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SCGLR", "3.0")



Attach the package and use:
library("SCGLR")
Maintained by
Guillaume Cornu
[Scholar Profile | Author Map]
First Published: 2013-08-01
Latest Update: 2018-09-28
Description:
An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can also be grouped in themes.
How to cite:
Guillaume Cornu (2013). SCGLR: Supervised Component Generalized Linear Regression. R package version 3.0, https://cran.r-project.org/web/packages/SCGLR. Accessed 18 Apr. 2025.
Previous versions and publish date:
1.1 (2013-08-01 13:58), 1.2 (2014-03-18 11:44), 2.0.1 (2014-10-14 16:30), 2.0.2 (2015-02-16 17:45), 2.0.3 (2016-03-16 18:16), 2.0 (2014-07-17 16:58), 3.0 (2018-09-28 11:30)
Other packages that cited SCGLR R package
View SCGLR citation profile
Other R packages that SCGLR depends, imports, suggests or enhances
Complete documentation for SCGLR
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