backward stepwise linear discriminant analysis

https://doi.org/10.1351/goldbook.10119

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:
  1. Significant loss is tested by an F-test
  2. 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: Array
Source:
PAC, 2016, 88, 407. (Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)) on page 426 [Terms] [Paper]