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)
This version improves error handling, corrects a bug concerning the Pascal covariance structure, and fixes a few mistakes in the accompanying vignette.