A general solution for a class of weakly constrained linear regression problems

DOI10.1007/BF02294493zbMath0760.62064OpenAlexW1973530669MaRDI QIDQ1205752

Jos M. F. ten Berge

Publication date: 1 April 1993

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294493

zbMATH Keywords

inequalitiesridge regressionpenalty functionglobally optimal solutionmultidimensional scalingProcrustes analysismatrices of squared distancessquared distance scalingsum of squared regression weights

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)

Related Items (3)

A generalization of GIPSCAL for the analysis of nonsymmetric data ⋮ Algorithms for unweighted least-squares factor analysis ⋮ Improved bounds for optimal intervals in weakly constrained regression problems

Cites Work

• An efficient alternating least-squares algorithm to perform multidimensional unfolding
• A general solution to Mosier's oblique Procrustes problem

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