Principal Component Analysis using R

Principal Component Analysis (PCA) was a favorite technique of ours for a long time, because it addressed the dimensionality of a problem,   So important for problems that had many socially influenced dimensions.  These problems also typically had relatively sparse data, because it could be expensive to obtain. Here a good example of PCA in R, and motivation for its use.   Worth knowing.

Principal Components of Data Science

Using my favorite machine learning tool, Principal components analysis (PCA) on the tools of data analysis themselves. Dimension reduction.  Instructive exercise.  By Bob Hayes in Customer Think.

Principal Component Analysis

What is Multivariate Analysis? Part II: Principal Component Analysis | bicorner.com   by Jeffrey Strickland.
Part of a well done series on multivariate analysis.  This latest part on Principal Component Analysis (PCA).   Nicely done, fairly nontechnical introductory description.  A method commonly used in CPG and retail and elsewhere.  You are trying to find the best (principal) representation of some result in a multivariate dataset.