The DOI matches its Crossref record.
Multivariate Calibration
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Process monitoring and diagnosis by multiblock PLS methods
MacGregor, J. F., Jaeckle, C., Kiparissides, C., & Koutoudi, M. (1994) · AIChE Journal · doi:10.1002/aic.690400509 · Cited by 773
Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression
Abdi, H., & Williams, L. J. (2013) · Methods in Molecular Biology · doi:10.1007/978-1-62703-059-5_23 · Cited by 448
O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter
Trygg, J., & Wold, S. (2003) · Journal of Chemometrics · doi:10.1002/cem.775 · Cited by 339
Partial Least Squares Regression
Helland, I. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess6004.pub2 · Cited by 259
Wopereis, S., Rubingh, C. M., van Erk, M. J., Verheij, E. R., van Vliet, T., Cnubben, N. H. P., Smilde, A. K., van der Greef, J., van Ommen, B., & Hendriks, H. F. J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004525 · Cited by 123
Metadata
- Authors
- Martens, H., & Næs, T.
- Venue
- Chemometrics
- Publisher
- Springer Netherlands
- Published
- 1984
- Pages
- 147-156
- OpenAlex
- W4243838184
- Cited by
- 597
- References
- 0
- FWCI
- 11.83
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multivariate Calibration. https://app.cochat.ai/papers/10.1007/978-94-017-1026-8_5
- The paper
- Martens, H., & Næs, T. (1984). Multivariate Calibration. Chemometrics. https://doi.org/10.1007/978-94-017-1026-8_5
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.
