The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration-Reference-Cited by-同舟云学术

The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration

Published:2005 Issue:2 Volume:19 Page:107-118
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Nadler Boaz,Coifman Ronald R.

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference47 articles.

1. Multivariate Least-Squares Methods Applied to the Quantitative Spectral Analysis of Multicomponent Samples

2. Multivariate calibration methods applied to quantitative FT-IR analyses. In Practical Fourier Transform Infrared Spectroscopy, (eds). Academic Press: New York, NY, 1989; 395-468.

3. . Multivariate Calibration. Wiley: Chichester, 1989.

4. PLS-regression: a basic tool of chemometrics

5. New Prediction-Augmented Classical Least-Squares (PACLS) Methods: Application to Unmodeled Interferents

Cited by 106 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Variable Selection in Near-Infrared Spectra for Modeling of Hemoglobin Content in Bio-Water Solutions;Journal of Applied Spectroscopy;2024-09-14

2. Predicting ruminal degradability and chemical composition of corn silage using near-infrared spectroscopy and multivariate regression;PLOS ONE;2024-04-18

3. An Incremental Update Framework for Online Recommenders with Data-Driven Prior;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities;Molecules;2023-10-12

5. Hyperspectral Inversion of Soil Organic Matter in Jujube Orchard in Southern Xinjiang Using CARS-BPNN;SPECTROSC SPECT ANAL;2023