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Distributional aspects in partial least squares regression

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorRomera, Rosario
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned2010-01-08T09:20:21Z
dc.date.available2010-01-08T09:20:21Z
dc.date.issued1999-02
dc.description.abstractThis paper presents some results about the asymptotic behaviour of the estimate of a regression model obtained by Partial Least Squares (PLS) Methods. Because the nonlinearity of the regression estimator on the response variable, local linear approximation through the 6-method for the PLS regression vector is carried out. A new implementation of the PLS algorithm is developed for this purpose.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10016/6299
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries99-19-04
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadística
dc.subject.otherPartial least Squares Regression
dc.subject.otherAsympotic distribution
dc.titleDistributional aspects in partial least squares regression
dc.typeworking paper*
dspace.entity.typePublication
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