Development of robust procedures for partial least square regression with application to near infrared spectral data
The Partial Least Square Regression (PLSR) is a multivariate method commonly used to build a predictive model of Near Infrared (NIR) spectral data. Based on our experience, several weaknesses of the PLSR have been identified with respect to its robustness issues in the pre-processing and inproces...
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| 格式: | Thesis |
| 语言: | 英语 |
| 出版: |
2021
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| 在线阅读: | http://psasir.upm.edu.my/id/eprint/98710/1/IPM%202021%208%20-%20IR.pdf |