Table of Contents

Principal Component Analysis. Multiple Correspondence Analysis. Factor Analysis for Mixed Data. Weighting Groups of Variables. Comparing Clouds of Partial Individuals. Factors Common to Different Groups of Variables. Comparing Groups of Variables and Indscal Model. Qualitative and Mixed Data. Multiple Factor Analysis and Procrustes Analysis. Hierarchical Multiple Factor Analysis. Matrix Calculus and Euclidean Vector Space. Bibliography.

About the Author

Jérôme Pagès is a professor of statistics at Agrocampus (Rennes, France), where he heads the Laboratory of Applied Mathematics (LMA²).