Principal component analysis

Chemometrics and Intelligent Laboratory Systems

Volumn 2, Issue 1-3, 1987, Pages 37-52

  Wold, Svante ^a   Esbensen, Kim ^a,b   Geladi, Paul ^a,b  

^a UMEÅ UNIVERSITY   (Sweden)

^b NORWEGIAN COMPUTING CENTER   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 45949123735     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/0169-7439(87)80084-9     Document Type: Article

References (48)

1. On lines and planes of closest fit to systems of points in space
2. Studies in crop variation II The manurial response of different potato varieties
3. Nonlinear estimation by iterative least squares procedures
4. Analysis of a complex of statistical variables into principal components
5. Analysis of a complex of statistical variables into principal components
6. Use of the singular value decomposition in regression analysis
7. Über lineare Methoden in der Wahrscheinlichkeitsrechnung
8. Fonctions aleatoires de seconde ordre
9. Chemometrics
10. Self modeling curve resolution
11. Extended Q model — Objective definition of external end members in the analysis of mixtures
12. Use of canonical variate analysis in the differentiation of swede cultivars by gas—liquid chromatography of volatile hydrolysis products
13. Developments in linear regression methodology: 1959–1982
14. Outlier⋯s
15. Efficient computing a regression diagnostics
16. Multivariale Calibration
17. Four levels of pattern recognition
18. Multivariate data analysis in chemistry
19. Multivariate data analysis: Converting chemical data tables to plots
20. Chemometrics
21. The prediction of bradykinin potentiating potency of pentapeptides. An example of a peptide quantitative structure—activity relationship
22. Screening of suitable solvents in organic synthesis Strategies for solvent selection
23. A theoretical foundation of extrathermodynamic relationships (linear free energy relationships)
24. Pattern recognition by means of disjoint principal components models
25. Pattern recognition; finding and using regularities in multivariate data
26. Bilinar methods
27. Extraction of mass spectral information by a combination of autocorrelation and principal components models
28. Computer-intensive methods in statistics
29. Cross validatory estimation of the number of components in factor and principal components models
30. Crossvalidatory choice of the number of components from a principal component analysis
31. Partial least squares regression (PLS): a tutorial
32. The collinearity problem in linear regression The partial least squares approach to generalized inverses
33. Bilinear analysis of multivariate images (BAMID)
34. Image analysis, chemical information in images and chemometrics
35. Three-mode path models with latent variables and partial least squares (PLS) parameter estimation
36. Multi-way principal components and PLS-analysis
37. A multivariate study of the relationship between the genetic code and the physical-chemical properties of amino acids