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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/98710/1/IPM%202021%208%20-%20IR.pdf http://psasir.upm.edu.my/id/eprint/98710/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|