Linear discriminant analysis in which variables to build the discriminant functions are removed one at a time to minimise the loss of discrimination, until there is a significant loss.
Notes: - Significant loss is tested by an F-test
- Interrelationships between variables that have not yet been selected are ignored, and variables already added, which may become largely redundant through subsequent additions, cannot be removed.
See: forward stepwise linear discriminant analysis
Source:
PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 426 (https://doi.org/10.1515/pac-2015-0605)