Fitting Longitudinal Reduced-Rank Regression Models by Alternating Least Squares.

Bijleveld, Catrien C. J. H.; de Leeuw, Jan

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ435126

Record Type: Journal

Publication Date: 1991

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0033-3123

EISSN: N/A

Available Date: N/A

Fitting Longitudinal Reduced-Rank Regression Models by Alternating Least Squares.

Bijleveld, Catrien C. J. H.; de Leeuw, Jan

Psychometrika, v56 n3 p433-47 Sep 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), Graphs, Least Squares Statistics, Longitudinal Studies, Mathematical Models, Regression (Statistics), Scaling, Social Science Research

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A