We discuss in this paper procedures for the analysis of the reduced‐rank regression model. A new method is proposed for parameter estimation which is justified by a least‐squares analysis employing matrix singular‐value decomposition and the Eckart‐Young theorem. The application of the model is illustrated by the regression analysis of gasoline distillation measurements on composition data obtained by gas‐liquid chromatography.
No takes yet. Share an insight, caveat, or question.
Davies et al. (1982) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: