Skip to main content
SpringerLink
Log in

Efficient cross-validation of principal components applied to principal component regression

  • Rejoinder
  • Published:
Statistics and Computing Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Atkinson, A. C. (1985) Plots, Transformations and Regression. Oxford University Press, New York.

    Google Scholar 

  • Mertens, B. J. A. (submitted) An application of exact principal component influence measures.

  • Rice, J. A. and Silverman, B. W. (1991) Estimating the mean and covariance structure nonparametrically when the data are curves. Journal of the Royal Statistical Society, B, 53, 233–43.

    Google Scholar 

  • Stone, M. and Brooks, R. J. (1990) Continuum regression: crossvalidated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression (with discussion). Journal of the Royal Statistical Society, B, 52, 237–69.

    Google Scholar 

  • Wold, H. (1978) Cross-validatory estimation of the number of components in factor and principal components models. Technometrics, 20(4), 397–405.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Statistics, Trinity College Dublin, 2, Dublin, Ireland

    B. J. A. Mertens

  2. Department of Statistics, University College London, Gower Street, WC1E 6BT, London, UK

    T. Fearn

  3. Department of Chemistry, Birkbeck College, Malet St, WC1H 0PP, London, UK

    M. Thompson

Authors
  1. B. J. A. Mertens
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. Fearn
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Thompson
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mertens, B.J.A., Fearn, T. & Thompson, M. Efficient cross-validation of principal components applied to principal component regression. Stat Comput 6, 178 (1996). https://doi.org/10.1007/BF00162530

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00162530

Keywords

Search

Navigation