Multivariate Random Forest with Compositional Responses R package CompositionalRF version 1.6 Multivariate random forests with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, or the alpha-transformation of Tsagris, Preston and Wood (2011), <doi:10.48550/arXiv.1106.1451>, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied. Software Depends: R (>= 4.0) Imports: Compositional, RcppParallel, Rcpp, Rfast, stats LinkingTo: Rcpp, RcppParallel Suggests: Rfast2 Michail Tsagris <mtsagris@uoc.gr> Comprehensive R Archive Network (CRAN) Michail Tsagris [aut, cre], Christos Adam [aut] GPL (>= 2) 2026-02-28 application/tgz https://CRAN.R-project.org/package=CompositionalRF doi:10.32614/CRAN.package.CompositionalRF