Partial Least Squares: a First-order Analysis

@inproceedings{Stoica1995PartialLS,
  title={Partial Least Squares: a First-order Analysis},
  author={Petre Stoica and Torsten Ss and Oderstrr Om},
  year={1995}
}
The main contributions of this paper can be summarized as follows. First, we compare the Partial Least Squares (PLS) and the Principal Component Analysis (PCA), under fairly general conditions. (In particular, the existence of a true linear regression is not assumed.) We prove that PLS and PCA are equivalent, to within a rst-order approximation, hence providing a theoretical explanation for empirical ndings reported by other researchers. Secondly, we assume the existence of a true linear… CONTINUE READING
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Stoica: \Emitter waveform estimation in array signal processing

  • T Ss Oderstrr Om
  • International Journal of Control
  • 1995

Sundberg: \Continuum regression and ridge regression

  • J.R. Statist. Soc., B
  • 1993

\A statistical view of some chemometrics regression tools

  • I Frank, J Friedman
  • Technometrics
  • 1993

Brooks: \Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression

  • M Stone
  • J.R. Statist. Soc., B
  • 1990

Helland: \Partial least squares regression and statistical models

  • Scand. J. Statist
  • 1990

Helland: \On the structure of partial least squares regression

  • Commun. Statist. Simula
  • 1988

An Introduction to Identiication

  • J P Norton
  • An Introduction to Identiication
  • 1986

Wold: \The multivariate calibration problem in chemistry solved by the PLS

  • S Wold, H Martens
  • Proc. Conf. on Matrix Pencils
  • 1982

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