The Trade-off between the PLSR and PCR Methods for Modeling Data with Collinear Structure

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dc.contributor.authorYahya, W. B.
dc.contributor.authorOlorede, K. O.
dc.contributor.authorGarba, M. K.
dc.contributor.authorBanjoko, A. W.
dc.contributor.authorDauda, K. A.
dc.date.accessioned2023-05-30T10:35:25Z
dc.date.available2023-05-30T10:35:25Z
dc.date.issued2017-01-20
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/10847
dc.language.isoenen_US
dc.publisherNigerian Association of Mathematical Physicsen_US
dc.relation.ispartofseries39;1
dc.subjectPLS Regressionen_US
dc.subjectPrincipal Components Regressionen_US
dc.subjectMean Square Error of Predictionen_US
dc.subjectLeave-One-Out Cross-Validationen_US
dc.titleThe Trade-off between the PLSR and PCR Methods for Modeling Data with Collinear Structureen_US
dc.typeArticleen_US

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