Output from fitting the Gamma-Gamma model on transactional data. It constitutes the estimation result and is returned to the user to use it as input to other methods such as to diagnose the model fit or to predict customer's future spending.

Inherits from clv.fitted.spending in order to execute all steps required to fit a model or to predict future spending. Contains an instance of class clv.model.gg which provides the required Gamma-Gamma specific functionalities.



Single data.table that contains information about each customers' mean spending per transaction (Spending) and the number of purchases (x) which both depend on whether the first transaction was removed or not.