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Please edit that file --\u003e\n\n```{r, echo = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"README-\"\n)\n```\n\n\n## msos\n\n\u003c!-- badges: start --\u003e\n[![R-CMD-check](https://github.com/coatless-rpkg/msos/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/coatless-rpkg/msos/actions/workflows/R-CMD-check.yaml)\n[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/msos)](https://cran.r-project.org/package=msos)\n[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/msos)](https://cran.r-project.org/package=msos)\n\u003c!-- badges: end --\u003e\n\nMultivariate Analysis methods and data sets used\nin John Marden's [Multivariate Statistics: Old School](https://stat.istics.net/Multivariate/) (2015) ISBN: [978-1456538835](https://www.amazon.com/gp/product/1456538837).\nThis also serves a companion package for the STAT 571: Multivariate Analysis course\noffered in the [Department of Statistics](https://stat.illinois.edu) at the\n[University of Illinois at Urbana-Champaign (UIUC)](https://illinois.edu).\n\n### Installation\n\nThe `msos` package is available on both CRAN and GitHub. The CRAN version is\nconsidered stable while the GitHub version is in a state of development and \nmay break. \n\nYou can install the stable version of the `msos` package with:\n\n```r\ninstall.packages(\"msos\")\n```\n\nFor those who like living on the edge, feel free to use a copy of the \ndevelopment version by doing:\n\n```r\nif(!requireNamespace(\"remotes\")) { install.packages(\"remotes\") }\n\n# Install the package from github\nremotes::install_github(\"coatless-rpkg/msos\")\n```\n\n### Authors\n\nJohn Marden and James Balamuta\n\n### Licensing\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoatless-rpkg%2Fmsos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoatless-rpkg%2Fmsos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoatless-rpkg%2Fmsos/lists"}