General Modeler and Multivariate Explorer Button

Click the button to explore a large suite of linear and nonlinear modeling methods for predicting one or more dependent criterion variables, from continuous and/or categorical predictors (and their interactions). A flexible, intelligent, data mining user interface will aid in the process of selecting and setting up the appropriate model. A variety of very efficient algorithms are provided for fitting models based on least squares, maximum likelihood, and arbitrary loss functions. Data from remote servers can be directly queried and processed in place, without having to import them to the local storage. Successful models can be deployed for repeated or routine use. Note that this is a module of the STATISTICA Enterprise Systems.

Please consult the product description brochure for sales information concerning this module, and specifically, which modules are included in each STATISTICA product.