Abstract
This article concerns two chemometric modeling methods - the well-known partial least squares regression and the comparatively recently-devised orthogonal projections to latent structures (OPLS). We discuss their similarities and differences with a focus on the usage of OPLS in the analytical-chemistry literature. (C) 2009 Elsevier Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 1322-1327 |
| Number of pages | 6 |
| Journal | TrAC Trends in Analytical Chemistry |
| Volume | 28 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Dec 2009 |
Keywords
- Partial least squares, PLS
- Orthogonal projections to latent structures, OPLS
- Performance equivalence
- Interpretation
- Correlation
- Covariance