Multi-Layer Group-Lasso R package MLGL version 1.0.1 It implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data (Grimonprez et al. (2023) <doi:10.18637/jss.v106.i03>). Software Imports: gglasso, MASS, Matrix, fastcluster, FactoMineR, parallelDist Quentin Grimonprez <quentingrim@yahoo.fr> Comprehensive R Archive Network (CRAN) Quentin Grimonprez [aut, cre], Samuel Blanck [ctb], Alain Celisse [ths], Guillemette Marot [ths], Yi Yang [ctb], Hui Zou [ctb] GPL (>= 2) 2025-07-23 application/tgz https://CRAN.R-project.org/package=MLGL doi:10.32614/CRAN.package.MLGL