摘要

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.

  • 出版日期2009-12