clustermanymodels.RdGenerated data to test different types of linear models with clustered data. The variables can be used as:
`x` and `z` as two continuous independent variables;
`cat2` and `cat3` as categorical independent variables, with two and three groups respectively;
`ycont` is a continuous variable, suitable as dependent variable. `ybin` is dichotomous dependent variable; `ypoi` a count variable (Poisson), `yord` and ordinal dependent variable with 5 levels, and `ycat` a categorical dependent variable with three groups. `cluster` as the clustering variable.
data(clustermanymodels)data(clustermanymodels)