Implementing PLS for distance-based regression: computational issues

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dc.contributor.author Boj, Eva
dc.contributor.author Grané, Aurea
dc.contributor.author Fortiana, Josep
dc.contributor.author Claramunt, M. Merce
dc.date.accessioned 2006-11-09T10:59:41Z
dc.date.available 2006-11-09T10:59:41Z
dc.date.issued 2006-05
dc.identifier.uri http://hdl.handle.net/10016/245
dc.description.abstract Distance-based regression allows for a neat implementation of the Partial Least Squares recurrence. In this paper we address practical issues arising when dealing with moderately large datasets (n ~ 10^4) such as those typical of automobile insurance premium calculations.
dc.format.extent 153596 bytes
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 2006-14
dc.title Implementing PLS for distance-based regression: computational issues
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws063514
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