PASW Regression | Logistic Regression Analysis

Improve Predictions with Powerful Nonlinear Regression Software

PASW Regression (formerly called SPSS Regression Models) enables you to apply more sophisticated models to your data using its wide range of nonlinear regression models. You can apply PASW Regression, to many disciplines, including:

Market research: Study consumer buying habits
Medical research: Study response to dosages through probit analysis
Institutional research: Measure academic achievement tests
Loan assessment: Analyze good and bad credit risks

PASW Regression includes these procedures:

Multinomial logistic regression (MLR): Predict categorical outcomes with more than two categories
Binary logistic regression: Easily classify your data into two groups
Nonlinear regression (NLR) and constrained nonlinear regression (CNLR): Estimate parameters of nonlinear models
Probit analysis: Evaluate the value of stimuli using a logit or probit transformation of the proportion responding

PASW Regression is available in English, Japanese, French, German, Italian, Spanish, Chinese, Polish, Korean, and Russian.

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