Although there are several good books on principal component methods and related
topics, we felt that many of them are either too theoretical or too advanced.
Our goal was to write a practical guide to multivariate analysis, visualization and inter-
pretation, focusing on principal component methods.
The book presents the basic principles of the different methods and provide many exam-
ples in R. This book offers solid guidance in data mining for students and researchers.
Key features
• Covers principal component methods and implementation in R
• Short, self-contained chapters with tested examples that allow for flexibility in
designing a course and for easy reference
At the end of each chapter, we present R lab sections in which we systematically work
through applications of the various methods discussed in that chapter. Additionally,
we provide links to other resources and to our hand-curated list of videos on principal
component methods for further learning.
