This tutorial covers:
-How to generate a covariance matrix for the Procrustes superimposed landmark data
- Performing a Principal Components Analysis (PCA) on the landmark data (via the covariance matrix).
- Basics of interpreting the PCA
- Visualization of shape changes associated with the first few principal axes of variation.
