Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of
Assessment of the Risk of the Project's Contractor Bankruptcy Using the Partial Least Squares Approach
β Scribed by Blaszczyk, Pawel; Blaszczyk, Tomasz
- Book ID
- 121827026
- Publisher
- Elsevier
- Year
- 2013
- Weight
- 270 KB
- Volume
- 9
- Category
- Article
- ISSN
- 2212-0173
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The least squares method for the solution of ion overlap problems in quantitative mass spectrometry first introduced by Brauman was used to quantify isotopic mixtures of chlorophenol derivatives. The samples analyzed consisted of the chlorophenols resulting from the cytochrome P-450 mediated oxidati
## Abstract The application of multivariate statistical projection based techniques has been recognized as one approach to contributing to an increased understanding of process behaviour. The key methodologies have included multiβway principal component analysis (PCA), multiβway partial least squar