A User's Guide to Principal Components

Getting Started; PCA with More Than Two Variables; Scaling of Data; Inferential Procedures; Putting It All Together--Hearing Loss I. Operations with Group Data; Vector Interpretation I: Simplifications and Inferential Techniques; Vector Interpretation II: Rotation; A Case History--Hearing Loss II; Singular Value Decomposition: Multidimensional Scaling I. Distance Models: Multidimensional Scaling II; Linear Models I: Regression; PCA of Predictor Variables; Linear Models II: Analysis of Variance; PCA of Response Variables; Other Applications of PCA; Flatland: Special Procedures for Two Dimensions; Odds and Ends; What Is Factor Analysis Anyhow?; Other Competitors; Conclusion; Appendices; Bibliography; Author Index; Subject Index.