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Bijleveld, Catrien C. J. H.; de Leeuw, Jan – Psychometrika, 1991
An alternating least squares method for iteratively fitting the longitudinal reduced-rank regression model is proposed. For social and behavioral science applications, the developed algorithm does not rely on the assumption of multinomial errors and allows for scaling of input and output variables. (SLD)
Descriptors: Algorithms, Behavioral Science Research, Cross Sectional Studies, Equations (Mathematics)