The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
PLS regression methods
Abstract
In this paper we develop the mathematical and statistical structure of PLS regression. We show the PLS regression algorithm and how it can be interpreted in model building. The basic mathematical principles that lie behind two block PLS are depicted. We also show the statistical aspects of the PLS method when it is used for model building. Finally we show the structure of the PLS decompositions of the data matrices involved.
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Citations
Cites
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Cited by
PLS-regression: a basic tool of chemometrics
Wold, S., Sjöström, M., & Eriksson, L. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00155-1 · Cited by 10,084
A national customer satisfaction barometer: the Swedish experience
Fornell, C. (1992) · Journal of Marketing · doi:10.2307/1252129 · Cited by 5,641
SIMPLS: An alternative approach to partial least squares regression
de Jong, S. (1993) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(93)85002-x · Cited by 1,905
Classification tools in chemistry. Part 1: linear models. PLS-DA
Ballabio, D., & Consonni, V. (2013) · Analytical Methods · doi:10.1039/c3ay40582f · Cited by 1,255
Kernel partial least squares regression in reproducing kernel hilbert space
Rosipal, R., & Trejo, L. J. (2002) · doi:10.5555/944790.944806 · Cited by 873
Metadata
- Authors
- Höskuldsson, A.
- Venue
- Journal of Chemometrics
- Publisher
- Wiley
- Published
- 1988-06
- Volume
- 2
- Issue
- 3
- Pages
- 211-228
- ISSN
- 0886-9383 (ISSN-L)
- 1099-128X
- OpenAlex
- W1966089218
- Cited by
- 1,881
- References
- 1
- FWCI
- 21.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
