A fast method to compute orthogonal loadings partial least squares

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dc.contributor.author Goutis, Constantinos
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2011-02-23T18:21:34Z
dc.date.available 2011-02-23T18:21:34Z
dc.date.issued 1995-11
dc.identifier.uri http://hdl.handle.net/10016/10346
dc.description.abstract \Ve give a computationally fast method for the orthogonal loadings partial least squares. Our algorithm avoids the multiple regression computations at each step and yields identical scores and loadings to the usual method. We give a proof of the equivalence to the standard algorithm. "Ve discuss briefiy the computational advantages over both orthogonal scores and orthogonal loadings partial least squares.
dc.format.mimetype application/octet-stream
dc.format.mimetype application/octet-stream
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries 95-55
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Biased regression methods
dc.subject.other Bilinear forms
dc.subject.other Calibration
dc.subject.other Projection matrices
dc.title A fast method to compute orthogonal loadings partial least squares
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
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