Linear Model Evaluation with Randomized Residuals in a Permutation Procedure R package RRPP version 2.2.0 CRAN Task View: Phylogenetics (https://CRAN.R-project.org/view=Phylogenetics) Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well. Software Depends: R (>= 4.4.0) Imports: parallel, ape, ggplot2, Matrix, lme4 Suggests: knitr, rmarkdown, testthat (>= 3.2.0), dplyr, tibble Michael Collyer <mlcollyer@gmail.com> Comprehensive R Archive Network (CRAN) Michael Collyer [aut, cre] (ORCID: <https://orcid.org/0000-0003-0238-2201>), Dean Adams [aut] (ORCID: <https://orcid.org/0000-0001-9172-7894>) GPL (>= 3) 2026-07-03 application/tgz https://CRAN.R-project.org/package=RRPP doi:10.32614/CRAN.package.RRPP