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• W2090367033 abstract "Methods for obtaining the estimates of coefficients and other statistics in the usual least squares regression model are disucussed which proceed by forming a version of the Cholesky decomposition of the correlation matrix, and are well adapted to updating as predictot variables are added to or deleted from the regression. Connection with jordan elimination and with methods based on Householder decompositions are explored. Brief comments are made on the relevance of the methods for the computations of multivariate analysis." @default.
• W2090367033 created "2016-06-24" @default.
• W2090367033 creator A5033475830 @default.
• W2090367033 date "1977-01-01" @default.
• W2090367033 modified "2023-09-26" @default.
• W2090367033 title "Least squares computations based on the cholesky decomposition of the correlation matrix" @default.
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• W2090367033 doi "https://doi.org/10.1080/00949657708810155" @default.
• W2090367033 hasPublicationYear "1977" @default.
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