Wasserstein-Based Regression for Ordinal Compositional Data R package OrdinalCompositions version 0.1.0 Tools analyzing regression models for ordinal compositional data using Wasserstein-based distances. The package includes linear programming solvers under simplex constraints, tensor product constructions and performance metrics. Software Depends: R (>= 3.5.0) Imports: lpSolveAPI, stats, extraDistr Suggests: codalm, knitr, rmarkdown Nicola Piras <nicola.piras97@unica.it> Comprehensive R Archive Network (CRAN) Nicola Piras [aut, cre], Monica Musio [aut], Beniamino Cappelletti-Montano [aut] GPL-2 2026-06-19 application/tgz https://CRAN.R-project.org/package=OrdinalCompositions doi:10.32614/CRAN.package.OrdinalCompositions