type TPCAMode = ( PCACorrMat, PCACovMat, PCARawData );
Defines type of Principal Component Analysis (PCA).
Defines whether the PCA analysis is to be run on a correlation or covariance matrix. Normally, the analysis is run on the scale-invariant correlation matrix since the scale of the variables changes the analysis when the covariance matrix is used.
Values
| Name | Description |
|---|---|
| PCACorrMat | CA is run on correlation matrix (supported by PCA). |
| PCACovMat | CA is run on covariance matrix (supported by PCA and FA). |
| PCARawData | CA is run on raw data matrix (supported by PCA and FA). |