A control chart approach to select eigenvalues in principal component and correspondence analysis
A control chart approach to select eigenvalues in principal component and correspondence analysis
A vast literature (Cattell, Horn, Velicer) has been devoted to the assessment of the proper number of eigenvalues that have to be retained in Principal Components Analysis. Most of the publications are based on either (non-realistic) distributional assumptions for the underlying populations or on empirical criteria. Techniques that are based …