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2.3. Markov Chain - Predicting with new probabilities
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cls <- list(Session1 = c("P1", "P2", "P1", "P3", "P4", "Defer"),
Session2 = c("P3", "P4", "P1", "P3", "Defer"),
Session3 = c("P5", "P1", "P6", "P7", "P6", "P7", "P8", "P7", "Buy"),
Session4 = c("P9", "P2", "P11", "P12", "P11", "P13", "P11", "Buy"),
Session5 = c("P4", "P6", "P11", "P6", "P1", "P3", "Defer"),
Session6 = c("P3", "P13", "P12", "P4", "P12", "P1", "P4", "P1", "P3", "Defer"),
Session7 = c("P10", "P5", "P10", "P8", "P8", "P5", "P1", "P7", "Buy"),
Session8 = c("P9", "P2", "P1", "P9", "P3", "P1", "Defer"),
Session9 = c("P5", "P8", "P5", "P7", "P4", "P1", "P6", "P4", "Defer"))
class(cls) <- "Clickstreams"
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