Hi, here is an easy way to do Principal Component Analysis in R: https://www.datacamp.com/community/tutorials/pca-analysis-r#simple

The easiest way to work with PCA in R is by using the built-in functions princomp() and prcomp().

Providing a code snippet, in my opinion, would not be beneficial. However, I recommend you check out the following two pages which go into details on the topic of PCA and R with clear examples:

https://towardsdatascience.com/principal-component-analysis-pca-101-using-r-361f4c53a9ff

https://aaronschlegel.me/principal-component-analysis-r-example.html

Also, I recommend reading the official documentation, which I have linked here for you:

https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/prcomp

https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/princomp

Sougata Das

aaronschlegel.me › principal-component-analysis-r-exa

www.analyticsvidhya.com › blog › 2016/03 › pca-prac

You can find the steps in Chap13 of Using Multivariate Statistics, Tabachnick & Fidell. The book uses R code for SEM and other statistical techniques.