Multivariate Response Models
Fit Relationships Using MANOVA
Multivariate models fit several responses (Y variables) to a set of effects. The functions across the Y variables can be tested with appropriate response designs.
In addition to creating standard MANOVA (Multivariate Analysis of Variance) models, you can use the following techniques:
• Repeated measures analysis when repeated measurements are taken on each subject and you want to analyze effects both between subjects and within subjects across the measurements. This multivariate approach is especially important when the correlation structure across the measurements is arbitrary.
• Canonical correlation to find the linear combination of the X and Y variables that has the highest ...