✦ LIBER ✦

Principal component regression analysis applied in structure-activity relationships. 1. selective dihydrofolic acid reductase inhibitors

✍ Scribed by Peter P. Mager

Publisher: John Wiley and Sons
Year: 1980
Tongue: English
Weight: 296 KB
Volume: 22
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710220508

No coin nor oath required. For personal study only.

✦ Synopsis

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.

📜 SIMILAR VOLUMES

Principal component regression analysis

Principal component regression analysis applied in structure-activity relationships. 2. flexible opioids with unusually high safety margin

✍ Peter P. Mager 📂 Article 📅 1980 🏛 John Wiley and Sons 🌐 English ⚖ 387 KB 👁 1 views

## Abstract Multicollinearities among chemical regressor variables in structure‐activity relationships can be avoided using the principal component regression analysis. An example adapted from drug design (conformationally flexible opioids) shows the working technique.