Set of Assumptions for Factor and Principal Component Analysis R package FactorAssumptions version 2.0.1 Tests for Kaiser-Meyer-Olkin (KMO) and communalities in a dataset. It provides a final sample by removing variables in a iterable manner while keeping account of the variables that were removed in each step. It follows the best practices and assumptions according to Hair, Black, Babin & Anderson (2018, ISBN:9781473756540). Software Depends: R (>= 3.6.0), MASS, psych Suggests: knitr, rmarkdown, testthat (>= 2.1.0) Jose Storopoli <jstoropoli@protonmail.com> Comprehensive R Archive Network (CRAN) Jose Storopoli [aut, cre] (ORCID: <https://orcid.org/0000-0002-0559-5176>) GPL-3 2022-03-08 application/tgz https://CRAN.R-project.org/package=FactorAssumptions doi:10.32614/CRAN.package.FactorAssumptions