Multivariate Multiple Regression Prediction Models: A Euclidean Distance Approach
Keyword(s):
An extension of a multiple regression prediction model to multiple response variables is presented. An algorithm using least sum of Euclidean distances between the multivariate observed and model-predicted response values provides regression coefficients, a measure of effect size, and inferential procedures for evaluating the extended multivariate multiple regression prediction model.
Keyword(s):
2018 ◽
Vol 7
(2)
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pp. 56
2020 ◽
Vol 26
(33)
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pp. 4195-4205
2001 ◽
Vol 10
(2)
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pp. 241
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Keyword(s):
2018 ◽
Vol 8
(4)
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pp. 1-23
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2005 ◽
Vol 12
(5)
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pp. 459-464
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