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Linear regression probably is the most familiar technique of data analysis, but its
application is often hamstrung by model assumptions. For instance, if the data has a
hierarchical structure, quite often the assumptions of linear regression are feasible
only at local levels. We will investigate an extension of the linear model to bi-level