Discriminant analysis on a multivariate data set that has been subject to principal-component analysis.
Note: This procedure removes collinearity from the multivariate data and ensures that the new predictor variables, which are PCA scores, are distributed normally.
Source:
PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 423 (https://doi.org/10.1515/pac-2015-0605)