Common Dimensions (ComDim) Multi-Block Analysis R package R.ComDim version 1.0.0 Common Dimensions (ComDim) is a multi-block method that simultaneously considers multiple data tables to find latent components that are common to all the tables as well as those specific to each data table, along with the contribution of each table to each component. See Jouan-Rimbaud Bouveresse and Rutledge (2024) <doi:10.1002/cem.3454>, Boccard and Rutledge (2013) <doi:10.1016/j.aca.2013.01.022>, and Puig-Castellví et al. (2021) <doi:10.1016/j.chemolab.2021.104422>. Software Depends: methods Imports: pracma, utils, ggplot2, ConsensusOPLS Suggests: gridExtra, imputeLCMD, ica, MultiAssayExperiment, SummarizedExperiment, ropls Francesc Puig-Castellví <puig.francesc@gmail.com> Comprehensive R Archive Network (CRAN) Francesc Puig-Castellví [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=R.ComDim/LICENSE) 2026-05-13 application/tgz https://CRAN.R-project.org/package=R.ComDim doi:10.32614/CRAN.package.R.ComDim