'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2' R package SparseBiplots version 4.1.1 The 'HJ-Biplot' is a multivariate method that represents high-dimensional data in a low-dimensional subspace, capturing most of the information’s variability in just a few dimensions. This package implements three new regularized versions of the HJ-Biplot: Ridge, LASSO, and Elastic Net. These versions introduce restrictions that shrink or zero-out variable weights to improve interpretability based on regularization theory. All methods provide graphical representations using 'ggplot2'. Software Depends: R (>= 3.3.0), ggplot2 Imports: ggrepel, stats, sparsepca Suggests: testthat Mitzi Isabel Cubilla-Montilla <mitzi@usal.es> Comprehensive R Archive Network (CRAN) Mitzi Isabel Cubilla-Montilla [aut, cre], Carlos Alfredo Torres-Cubilla [aut], Maria Purificación Galindo Villardón [aut], Ana Belen Nieto-Librero [aut] GPL (>= 3) 2025-07-11 application/tgz https://CRAN.R-project.org/package=SparseBiplots doi:10.32614/CRAN.package.SparseBiplots