The implemented prediction strategy is the PPM (Prediction by Partial Match) strategy, which utilizes higher-order Markov models. A blending algorithm is used to combine the results of Markov predictors of different orders. The pluggable architecture permits complementing or replacing the PPM algorithm by other strategies.
The diploma thesis of Christian Siefkes contains a complete description of the toolkit.