Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration
Multiple linear regression (MLR) is compared with partial least-squares (PLS) regression. It is shown that the MLR and PLS solutions are very similar.
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| Veröffentlicht in: | Analytical chemistry (Washington) 1995-12, Vol.67 (23), p.4295-4301 |
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| container_end_page | 4301 |
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| container_issue | 23 |
| container_start_page | 4295 |
| container_title | Analytical chemistry (Washington) |
| container_volume | 67 |
| creator | Jouan-Rimbaud, Delphine Massart, Desire-Luc Leardi, Riccardo De Noord, Onno E |
| description | Multiple linear regression (MLR) is compared with partial least-squares (PLS) regression. It is shown that the MLR and PLS solutions are very similar. |
| doi_str_mv | 10.1021/ac00119a015 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0003-2700 |
| ispartof | Analytical chemistry (Washington), 1995-12, Vol.67 (23), p.4295-4301 |
| issn | 0003-2700 1520-6882 |
| language | eng |
| recordid | cdi_proquest_journals_217851129 |
| source | American Chemical Society Journals |
| subjects | Algorithms Applied sciences Chemistry Exact sciences and technology Genetics Organic polymers Physicochemistry of polymers Properties and characterization Scientific imaging Structure, morphology and analysis |
| title | Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration |
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