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Author (up) Indahl, U.G.; Martens, H.; Naes, T.    openurl
  Title From dummy regression to prior probabilities in PLS-DA Type Journal Article
  Year 2007 Publication Journal Of Chemometrics Abbrev Journal J. Chemometr.  
  Volume 21 Issue 12 Pages 529-536  
  Corporate Author Thesis  
  Address UMB Norwegian Univ Life Sci, Sect Bioinformat, N-0151 As, Norway, Email: ulf.indahl@umb.no  
  Keywords data compression; discriminant analysis; canonical variates; partial least squares; prior probabilities; weighted linear regression; dummy coded group membership matrix  
  Abstract Different published versions of partial least squares discriminant analysis (PLS-DA) are shown as special cases of an approach exploiting prior probabilities in the estimated between groups covariance matrix used for calculation of loading weights. With prior probabilities included in the calculation of both PLS components and canonical variates, a complete strategy for extracting appropriate decision spaces with multicollinear data is obtained. This idea easily extends to weighted linear dummy regression so that the corresponding fitted values also span the canonical space. Two different choices of prior probabilities are applied with a real dataset to illustrate the effect for the obtained decision spaces. Copyright (C) 2007 John Wiley & Sons, Ltd.  
  Publisher John Wiley & Sons Ltd Place Editor  
  Language English Summary Language Orig Title  
  Series Editor Series Title Abbrev Series Title  
  Series Volume Series Issue Edition  
  Issn 0886-9383 Isbn Medium  
  Area Expedition Conference  
  Notes ISI:000253176200004 Approved no  
  Location Torfinn Nome (torfinn.nome@umb.no)  
  Call Number Cigene @ torfinn.nome @ Serial 1300  
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