Independently published, 2015. — 58 p. — ASIN B013HNBQSG.
Many introductory books about principal component (PC) analysis using R have been published. These books describe how to use the princomp() function of R. The unique feature of this book is that it explains step-by-step the background theory of the princomp() function and helps readers identify PCs using examples ranging from simple to complex.
The prerequisites that readers of this book should be familiar with are as follows: the basics of differentiation; the basics of vectors; including the inner product of vectors; and the basics of matrix analysis, including the product, transpose, inverse, and eigenvalues of matrices.