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Dear R Users, I'm working on a problem where I have a multivariate response vector of counts and a continuous predictor. I've thought about doing this the same way you would do a Multvariate regression model with normally distributed data, but since these data are counts, they are probably better modeled with a Poisson distribution. For example y1<-rpois(100,3.5) y2<-rpois(100,1.5) y3<-rpois(100,.09) x<-rnorm(100, mean=25, sd=10) dat<-data.frame(y1, y2, y3, x) #Get...