期刊
INTERNATIONAL JOURNAL OF PHARMACEUTICS
卷 417, 期 1-2, 页码 280-290出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpharm.2011.02.019
关键词
Multivariate analysis; Latent variables; Pretreatment; Variable selection; PAT; Pharmaceutics
资金
- University of Bergen
We provide an overview of latent variable methods used in pharmaceutics and integrated with advanced characterization techniques such as vibrational spectroscopy. The basics of the most common latent variable methods, principal component analysis (PCA), principal component regression (PCR) and partial least-squares (PLS) regression, are presented. Multiple linear regression (MLR) and methods for improved interpretation, variable selection, classification and validation are also briefly discussed. Extensive use of the methods is demonstrated by compilation of the recent literature. (C) 2011 Elsevier B.V. All rights reserved.
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