Abstract
This article introduces a multivariate test for lack of fit of a linear multiresponse model. The test requires that replicated observations be taken at some points in the experimental region. A procedure is presented for the purpose of detecting which responses are responsible for lack of fit whenever the multivariate test is significant. An example is given to illustrate the procedure.