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Variable Selection in near Infrared Spectroscopy Based on Significance Testing in Partial Least Squares Regression
Abstract
A jack-knife based method for variable selection in partial least squares regression is presented. The method is based on significance tests of model parameters, in this paper applied to regression coefficients. The method is tested on a near infrared (NIR) spectral data set recorded on beer samples, correlated to extract concentration and compared to other methods with known merit. The results show that the jack-knife based variable selection performs as well or better than other variable selection methods do. Furthermore, results show that the method is robust towards various cross-validation schemes (the number of segments and how they are chosen).
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Citations
Cited by
Sure Independence Screening for Ultrahigh Dimensional Feature Space
Fan, J., & Lv, J. (2008) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2008.00674.x · Cited by 2,711
Menze, B. H., Kelm, B. M., Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., & Hamprecht, F. A. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-213 · Cited by 1,308
Near infrared spectroscopy: A mature analytical technique with new perspectives – A review
Pasquini, C. (2018) · Analytica Chimica Acta · doi:10.1016/j.aca.2018.04.004 · Cited by 1,153
Zhang, C., Zhang, M., Wang, S., Han, R., Cao, Y., Hua, W., Mao, Y., Zhang, X., Pang, X., Wei, C., et al. (2010) · The ISME Journal · doi:10.1038/ismej.2009.112 · Cited by 1,024
Variable selection in regression—a tutorial
Andersen, C. M., & Bro, R. (2010) · Journal of Chemometrics · doi:10.1002/cem.1360 · Cited by 697
Metadata
- Authors
- Westad, F., & Martens, H.
- Venue
- Journal of Near Infrared Spectroscopy
- Publisher
- SAGE Publications
- Published
- 2000-03
- Volume
- 8
- Issue
- 2
- Pages
- 117-124
- ISSN
- 0967-0335 (ISSN-L)
- 1751-6552
- OpenAlex
- W1999853225
- Cited by
- 248
- References
- 0
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Variable Selection in near Infrared Spectroscopy Based on Significance Testing in Partial Least Squares Regression. https://app.cochat.ai/papers/10.1255/jnirs.271
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- Westad, F., & Martens, H. (2000). Variable Selection in near Infrared Spectroscopy Based on Significance Testing in Partial Least Squares Regression. Journal of Near Infrared Spectroscopy. https://doi.org/10.1255/jnirs.271
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