Logit Regression with Deployment

Binary logit (logistic) regression for categorical and continuous predictors (use also Generalized Linear Models for ANOVA/ANCOVA-like designs); builds a generalized linear model for categorical and continuous predictor variables for a single categorical dependent variable.

Selected Results

Element Name Description
Residual analysis Computes predicted and residual values for all cases (observations).
Normal probability plot Normal probability plot of residuals.

Deployment

Deployment is available if the Statistica installation is licensed for this feature.

Element Name Description
Generates C/C++ code Generates C/C++ code for deployment of predictive model.
Generates SVB code Generates Statistica Visual Basic code for deployment of predictive model.
Generates PMML code Generates PMML (Predictive Models Markup Language) code for deployment of predictive model. This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large data sets.