selection may include evaluation of one or more sets of possible input variables to determine whether the variables increase the predictive power of the model for example variables that have lower predictive power may be discarded and variables with the greater predictive power may be selected for inclusion into the final constructed model the selection incorporation and verification steps may be iterated several times and thereby a smaller set of relevant variables may be selected from the larger set of potential variables and incorporated into the statistical model additionally the model selection may include review of actual model source code for proper syntax commenting and structure the criteria used to judge the predictive power of the model may be determined as well when the verification step 308 indicates that all selected variables are suitable for inclusion and that no additional variables are required the process may be completed at step 310 and the statistical model development process may proceed to an additional signoff at step 214 exemplary tasks included in the signoff step 214 may be substantially similar to the tasks included in signoff steps 206 and 210 and may include verification of accuracy and completeness of all required tasks review of logic and or equations derived production of accurate documentation and the like after successful completion of the model selection step.