Multivariate Tools for Compositional Data Analysis R package ToolsForCoDa version 1.1.0 CRAN Task View: CompositionalData (https://CRAN.R-project.org/view=CompositionalData) Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>. Functions for log-ratio principal component analysis with condition number computations and log-ratio discriminant analysis have been added to the package. Software Depends: R (>= 1.8.0), MASS, calibrate, Correlplot Suggests: knitr, rmarkdown Jan Graffelman <jan.graffelman@upc.edu> Comprehensive R Archive Network (CRAN) Jan Graffelman [aut, cre] GPL (>= 2) 2025-01-09 application/tgz https://CRAN.R-project.org/package=ToolsForCoDa doi:10.32614/CRAN.package.ToolsForCoDa