Introduction
Multivariate analysis techniques, such as principal components analysis and canonical correlation, enable you to investigate relationships in your data. Unlike statistical modeling, you do this without designating dependent or independent variables. In principal component analysis, you examine relationships within a single set of variables. In canonical correlation analysis, you examine the relationship between two sets of variables.
Figure 13.1: Multivariate Menu
The Analyst Application enables you to perform principal components analysis and canonical correlation. The Principal Components task enables you to compute principal components from a single set of variables. The Canonical Correlation task enables you to examine the relationship between two sets of variables.
The examples in this chapter demonstrate how you can use the Analyst Application to perform principal components and canonical correlation analyses.
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