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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
## msos
<!-- badges: start -->
[![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)
[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/msos)](https://cran.r-project.org/package=msos)
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/msos)](https://cran.r-project.org/package=msos)
<!-- badges: end -->
Multivariate Analysis methods and data sets used
in John Marden's [Multivariate Statistics: Old School](https://stat.istics.net/Multivariate/) (2015) ISBN: [978-1456538835](https://www.amazon.com/gp/product/1456538837).
This also serves a companion package for the STAT 571: Multivariate Analysis course
offered in the [Department of Statistics](https://stat.illinois.edu) at the
[University of Illinois at Urbana-Champaign (UIUC)](https://illinois.edu).
### Installation
The `msos` package is available on both CRAN and GitHub. The CRAN version is
considered stable while the GitHub version is in a state of development and
may break.
You can install the stable version of the `msos` package with:
```r
install.packages("msos")
```
For those who like living on the edge, feel free to use a copy of the
development version by doing:
```r
if(!requireNamespace("remotes")) { install.packages("remotes") }
# Install the package from github
remotes::install_github("coatless-rpkg/msos")
```
### Authors
John Marden and James Balamuta
### Licensing
MIT