Principal component regression analysis applied in structure‐activity relationships. 1. selective dihydrofolic acid reductase inhibitors
Peter P. Mager · Biometrical Journal · 1980
Abstract 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.