7. Principal Components Analysis
In This Chapter
Establishing a Conceptual Framework for Principal Components Analysis
Using the Principal Components Add-In
Counting Eigenvalues, Calculating Coefficients and Understanding Communalities
Relationships Between the Individual Results
Getting the Eigenvalues and Eigenvectors
This book’s chapters on MANOVA and discriminant function analysis discuss how you can apply intermediate statistical techniques—specifically, multivariate analysis—to decision making. In particular, MANOVA provides you with tools that can help with decisions regarding which of two or more categories a person or a flower or a treatment belongs to: Someone who will ...
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