The analysis of near-infrared (NIR) data arising from NIR experiments in which there exists more than one response variable of interest is discussed,with focus on the investigation of the relationship of response variables. A multivariate regression procedure based on principal component regression
✦ LIBER ✦
Principal component regression in NIR analysis: Viewpoints, background details and selection of components
✍ Scribed by Tormod Næs; Harald Martens
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 717 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0886-9383
No coin nor oath required. For personal study only.
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## Abstract The principal component regression analysis is used when the predicting variables correlate significantly against the regressor variables and, when a collinearity and multicollinearity exist among regressor variables. The example adapted from enzymology shows that no loss of information
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