Linear regression probably is the most familiar technique in 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
hierarchies.
![[ ]
2 4 3
A = 1 5 7](r-matrix0x.png)
