Sagata Regression Pro

The power of a professional regression package with the ease and comfort of a Microsoft® Excel-based interface.

• Qualitative/Categorical Factors - often inputs or factors in model fitting are qualitative or categorical in nature, e.g., the type of house (brick, cape cod, or colonial) or the school district name. S.R. Pro offers completely seamless integration of categorical and continuous factors.
• Data Weighting - weighted regression allows users to downplay the data associated with higher measurement errors.
• Stepwise Regression Automodeling - offers a stepwise regression feature to select the “optimal” model automatically (S.R. Standard offers limited number of parameter combinations).
• Cross-validation/MinPRESS Automodeling - exclusive stepwise type automatic model selection approach with the advantage of cross-validation type model evaluation.
• Robust Regression (for Outliers) - commonly some of the data are not entirely reliable. For these cases, experts often prefer to use alternatives to least squares regression that generate models that are less influenced by a small number of aberrant observations or outliers.