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Wold |
1978 |
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| Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP) |
Cruciani, Baroni, Clementi, Costantino, Riganelli and Skagerberg |
1992 |
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| Cross-validatory choice of the number of components from a principal component analysis |
Eastment and Krzanowski |
1982 |
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| Cross-validation in principal component analysis |
Krzanowski |
1987 |
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| A PLS kernel algorithm for data sets with many variables and few objects. Part II: Cross-validation, missing data and examples |
Rännar, Geladi, Lindgren and Wold |
1995 |
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| Kernel-based PLS regression; cross-validation and applications to spectral data |
Lindgren, Geladi and Wold |
1994 |
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| Kernel-PCA algorithms for wide data Part II: fast cross-validation and application in classification of NIR data |
Wu, Massart and de Jong |
1997 |
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| Cross-validation methods in principal component analysis: A comparison |
Diana and Tommasi |
2002 |
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| Principles of proper validation: use and abuse of re-sampling for validation |
Esbensen and Geladi |
2010 |
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| Cross-validation of component models: A critical look at current methods |
Bro, Kjeldahl, Smilde and Kiers |
2008 |
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| Partial least squares analysis with cross-validation for the two-class problem: A Monte Carlo study |
Ståhle and Wold |
1987 |
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