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                                       Details for article 14 of 23 found articles
 
 
  On the structure of partial least squares regression
 
 
Title: On the structure of partial least squares regression
Author: Helland, Inge S.
Appeared in: Communications in statistics
Paging: Volume 17 (1988) nr. 2 pages 581-607
Year: 1988
Contents: We prove that the two algorithms given in the literature for partial least squares regression are equivalent, and use this equivalence to give an explicit formula for the resulting prediction equation. This in turn is used to investigate the regression method from several points of view. Its relation to principal component regression is clearified, and some heuristic arguments are given to explain why partial least squares regression often needs fewer factors to give its optimal prediction.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 14 of 23 found articles
 
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