Key points are not available for this paper at this time.
Abstract It is fairly common, following a principal component analysis, to rotate components in order to simplify their structure. Here, we propose an alternative to this two-stage procedure which involves only one stage and combines the objectives of variance maximization and simplification. It is shown, using examples, that the new technique can provide alternative ways of interpreting a dataset. Some properties of the technique are investigated using a simulation study.
Jolliffe et al. (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: