Generalized Linear Models (GLM) is a covering algorithm allowing for the estima- tion of a number of otherwise distinct statistical regression models within a single frame- work. First developed by John Nelder and R.W.M. Wedderburn in 1972, the algorithm and overall GLM methodology has proved to be of substantial value to statisticians in terms of the scope of models under its domain as well as the number of accompanying model statistics facilitating an analysis of fit.