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Stina W. Andersen and George C. Runger Partitioned partial least squares regression with application to a batch fermentation process Journal of Chemometrics 25

Version of Record online: 10 FEB 2011 | DOI: 10.1002/cem.1332

A modification of PLS denoted Partitioned PLS (PPLS) is proposed as a suitable approach for predicting the yield of batch processes where several variables are being measured successively, leading to profiles of process variables. PPLS utilizes the natural grouping or ordering of predictors that is often present in high-dimensional data and in an iterative manner finds and selects the best predictors. PPLS also performs well on two reference data sets from the literature consisting of Near Infrared (NIR) spectra.

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