The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
libPLS: An integrated library for partial least squares regression and linear discriminant analysis
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Citations
Cites
Cross validatory choice and assessment of statistical predictions
Stone, M. (1974) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1974.tb00994.x · Cited by 10,881
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
Building Predictive Models in R Using the caret Package
Kuhn, M. (2008) · Journal of Statistical Software · doi:10.18637/jss.v028.i05 · Cited by 8,863
Partial least-squares regression: a tutorial
Geladi, P., & Kowalski, B. R. (1986) · Analytica Chimica Acta · doi:10.1016/0003-2670(86)80028-9 · Cited by 6,992
mixOmics: An R package for ‘omics feature selection and multiple data integration
Rohart, F., Gautier, B., Singh, A., & Lê Cao, K.-A. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005752 · Cited by 4,056
Computer Aided Design of Experiments
Kennard, R. W., & Stone, L. A. (1969) · Technometrics · doi:10.1080/00401706.1969.10490666 · Cited by 3,648
Partial least squares for discrimination
Barker, M., & Rayens, W. (2003) · Journal of Chemometrics · doi:10.1002/cem.785 · Cited by 2,841
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 · cited 2×
“Partial least squares (PLS) are the cornerstone method in chemometrics [1-3] and have been widely used in other fields such as metabolomics/metabonomics [4,5], bioinformatics [6].”
MethodThe pls Package: Principal Component and Partial Least Squares Regression in R
Mevik, B.-H., & Wehrens, R. (2007) · Journal of Statistical Software · doi:10.18637/jss.v018.i02 · Cited by 1,782
Li, H., Liang, Y., Xu, Q., & Cao, D. (2009) · Analytica Chimica Acta · doi:10.1016/j.aca.2009.06.046 · Cited by 1,763
Self-citation
Cited by
Tutorial: multivariate classification for vibrational spectroscopy in biological samples
Morais, C. L. M., Lima, K. M. G., Singh, M., & Martin, F. L. (2020) · Nature Protocols · doi:10.1038/s41596-020-0322-8 · Cited by 355
Metadata
- Authors
- Li, H.-D., Xu, Q.-S., & Liang, Y.-Z.
- Venue
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 176
- Pages
- 34-43
- ISSN
- 0169-7439 (ISSN-L)
- OpenAlex
- W2275931631
- Cited by
- 294
- References
- 51
- FWCI
- 18.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: libPLS: An integrated library for partial least squares regression and linear discriminant analysis. https://app.cochat.ai/papers/10.1016/j.chemolab.2018.03.003
- The paper
- Li, H.-D., Xu, Q.-S., & Liang, Y.-Z. (2018). libPLS: An integrated library for partial least squares regression and linear discriminant analysis. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/j.chemolab.2018.03.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
