Simple components, correlated components and an application of statistical shape analysis to consumer and other multivariate data
The interpretation of a principal component analysis can be complicated because the components are linear combinations of possibly many observed variables. A rotation of the principal components can improve the interpretation, however, there are usually still many small non-informative loadings, whi...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
University of Liverpool
2010
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539466 |