Principal Axis Analysis is a statistical technique that rotates standardised principal components in order to effectively identify subgroup patterns. This rotation is performed based on the preferred directions found in the spherised data. Therefore, it is a highly effective computer technique for analysing data in order to identify combinations of elliptically contoured distributions. We outline the methodology and illustrate it with examples. 

(Joint work with Frank Critchley and Ana M. Pires)