The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Missing data methods in PCA and PLS: Score calculations with incomplete observations
Overview
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.
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
Cites
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,265
Wold, S., Esbensen, K., & Geladi, P. (1987) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(87)80084-9 · Cited by 11,606
Applied Multivariate Statistical Analysis.
Johnson, A. R., & Wichern, D. W. (1988) · Biometrics · doi:10.2307/2531616 · Cited by 11,353
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
Steele, D. (1990) · Spectrochimica Acta Part A: Molecular Spectroscopy · doi:10.1016/0584-8539(90)80069-b · Cited by 2,240
Statistical Analysis with Missing Data.
Chatfield, C., Little, R. J. A., & Rubin, D. B. (1988) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2982783 · Cited by 2,202
Applied Multivariate Statistical Analysis
Dunn, C. (1989) · Technometrics · doi:10.1080/00401706.1989.10488530 · Cited by 1,608
Monitoring batch processes using multiway principal component analysis
Nomikos, P., & MacGregor, J. F. (1994) · AIChE Journal · doi:10.1002/aic.690400809 · Cited by 1,483
Self-citationMultivariate SPC Charts for Monitoring Batch Processes
Nomikos, P., & MacGregor, J. F. (1995) · Technometrics · doi:10.1080/00401706.1995.10485888 · Cited by 1,422
Self-citationMultivariate statistical monitoring of process operating performance
Kresta, J. V., Macgregor, J. F., & Marlin, T. E. (1991) · The Canadian Journal of Chemical Engineering · doi:10.1002/cjce.5450690105 · Cited by 989
Self-citation
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
Bro, R., & Smilde, A. K. (2014) · Anal. Methods · doi:10.1039/c3ay41907j · Cited by 3,038
Supervised pattern recognition in food analysis
Berrueta, L. A., Alonso-Salces, R. M., & Héberger, K. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.05.024 · Cited by 931
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Ge, Z., Song, Z., Ding, S. X., & Huang, B. (2017) · IEEE Access · doi:10.1109/access.2017.2756872 · Cited by 922
“inference, etc [20], [21].”
A systematic approach for soft sensor development
Lin, B., Recke, B., Knudsen, J. K. H., & Jørgensen, S. B. (2007) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2006.05.030 · Cited by 336
Metadata
- Authors
- Nelson, P. R. C., Taylor, P. A., & MacGregor, J. F.
- Venue
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Published
- 1996-11
- Volume
- 35
- Issue
- 1
- Pages
- 45-65
- ISSN
- 0169-7439 (ISSN-L)
- OpenAlex
- W1981443767
- Cited by
- 358
- References
- 12
- FWCI
- 7.84
- Type
- journal article
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Missing data methods in PCA and PLS: Score calculations with incomplete observations. https://app.cochat.ai/papers/10.1016/s0169-7439(96)00007-x
- The paper
- Nelson, P. R. C., Taylor, P. A., & MacGregor, J. F. (1996). Missing data methods in PCA and PLS: Score calculations with incomplete observations. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/s0169-7439(96)00007-x
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.