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Application of principal-component analysis on near-infrared spectroscopic data of vegetable oils for their classification

โœ Scribed by Tetsuo Sato


Book ID
112805770
Publisher
Springer-Verlag
Year
1994
Tongue
English
Weight
581 KB
Volume
71
Category
Article
ISSN
0003-021X

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Comparison of several calibration methods (principal component regression (PCR), partial least-squares, multiple linear regression), with and without feature selection, applied on near-infrared spectroscopic data is presented for a pharmaceutical application. It is shown that PCR with selection of p