Influence function analysis applied to partial least squares

Kjell Johnson, William Rayens

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this work we present the empirical influence functions for the covariances (eigenvalues) and directions (eigenvectors) of partial least squares under the constraint of uncorrelated components. We apply the results to several data sets and provide advice for using these tools in practice.

Original languageEnglish
Pages (from-to)293-306
Number of pages14
JournalComputational Statistics
Issue number2
StatePublished - Jul 2007


  • Influence function analysis
  • Outliers
  • Partial least squares

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Computational Mathematics


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