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Principal component regression analysis applied in structure‐activity relationships. 1. selective dihydrofolic acid reductase inhibitors
Author(s) -
Mager Peter P.
Publication year - 1980
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710220508
Subject(s) - multicollinearity , collinearity , principal component analysis , principal component regression , statistics , regression analysis , multivariate statistics , regression , mathematics
The principal component regression analysis is used when the predicting variables correlate significantly against the regressor variables and, when a collinearity and multicollinearity exist among regressor variables. The example adapted from enzymology shows that no loss of information occurs with respect to the chemical constants in comparison with the reduced model of multivariate regression analysis.