Hypothesis Tests for Multivariate Linear Models Using the car Package

Abstract

The multivariate linear model is Y (n×m) = X (n×p) B (p×m) + E (n×m) The multivariate linear model can be fit with the lm function in R, where the left-hand side of the model comprises a matrix of response variables, and the right-hand side is specified exactly as for a univariate linear model (i.e., with a single response variable). This paper explains how… (More)

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Cite this paper

@inproceedings{Weisberg2012HypothesisTF, title={Hypothesis Tests for Multivariate Linear Models Using the car Package}, author={Sanford Weisberg}, year={2012} }