Supervised Component Generalized Linear Regression R package SCGLR version 3.1.0 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. Software Depends: R (>= 3.0.0) Imports: Matrix, Formula, graphics, ggplot2 (>= 3.0.0), grid,pROC (>= 1.9), ade4, rlang, pls Suggests: future, future.apply, progressr Guillaume Cornu <gcornu@cirad.fr> Comprehensive R Archive Network (CRAN) Guillaume Cornu [aut, cre] (ORCID: <https://orcid.org/0000-0002-7523-5176>), Frederic Mortier [aut] (ORCID: <https://orcid.org/0000-0001-5473-709X>), Catherine Trottier [aut], Xavier Bry [aut], Jocelyn Chauvet [aut] (ORCID: <https://orcid.org/0000-0002-4466-6483>), Sylvie Gourlet-Fleury [dtc] (ORCID: <https://orcid.org/0000-0002-1136-4307>, Projet CoForChange <https://coforchange.cirad.fr>), Claude Garcia [dtc] (ORCID: <https://orcid.org/0000-0002-7351-0226>, Projet CoForTips <https://www.cofortips.org>), GAMBAS [fnd] (<https://gambas.cirad.fr>) CeCILL-2 GPL-2 2025-03-26 application/tgz https://CRAN.R-project.org/package=SCGLR doi:10.32614/CRAN.package.SCGLR