SCGLR: Supervised Component Generalized Linear Regression

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.

Version: 3.0
Depends: R (≥ 3.0.0)
Imports: Matrix, Formula, expm, graphics, ggplot2, grid, pROC, ade4
Suggests: parallel, gridExtra
Published: 2018-09-28
DOI: 10.32614/CRAN.package.SCGLR
Author: Guillaume Cornu ORCID iD [aut, cre], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut], Sylvie Gourlet-Fleury ORCID iD [dtc] (, Claude Garcia ORCID iD [dtc] (
Maintainer: Guillaume Cornu <gcornu at>
License: CeCILL-2 | GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SCGLR results


Reference manual: SCGLR.pdf


Package source: SCGLR_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SCGLR_3.0.tgz, r-oldrel (arm64): SCGLR_3.0.tgz, r-release (x86_64): SCGLR_3.0.tgz, r-oldrel (x86_64): SCGLR_3.0.tgz
Old sources: SCGLR archive


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