Hierarchical and Variation Partitioning for Canonical Analysis R package rdacca.hp version 1.1-3 This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>. Software Depends: R (>= 3.4.0),vegan,ggplot2 Imports: utils Jiangshan Lai <lai@njfu.edu.cn> Comprehensive R Archive Network (CRAN) Jiangshan Lai [aut, cre] (ORCID: <https://orcid.org/0000-0002-0279-8816>), Kim Nimon [aut], Yao Liu [aut], Pedro Peres-Neto [aut] GPL 2026-04-21 application/tgz https://CRAN.R-project.org/package=rdacca.hp doi:10.32614/CRAN.package.rdacca.hp