The method of regularization with additional information proposed by the authors is evaluated in a split sample test which compares it with the least squares and ordinary regularization methods. Data from 30 catchments are used. Additional information is provided by a simple conceptual model either fitted by a regression on physical characteristics of the catchment or fitted to the catchment lag determined from the data. The method is very useful when only a few rainfall/runoff events are available for analysis. When a large number of events is available, the ordinary regularization method is sufficient.