Fits singular linear models to longitudinal data. Singular linear
models are useful when the number, or timing, of longitudinal observations
may be informative about the observations themselves. They are described
in Farewell (2010)
The slim package fits singular linear models to longitudinal data, particularly when there may be a relationship between the number and timings of the measurements and the observations themselves.