We designed and modelled a CBC with 12 binary features and price. This is something not usually done by researchers because of correlation issues between predictors. We show how this is possible to do once the design is produced ad hoc, considering important key details, and the predictive model is estimated with the CBC/HB Sawtooth Software standalone module using an interaction term between a variable capturing the number of features and price.
