**Binomial Logistic Regression: ***Stepwise, ANOVA, Confidence Interval, Odds Ratio, covariance matrix, correlation matrix, Variable importance, Pseudo R square, Hosmer Lemeshow Goodness of fit, Likelihood Ratio Test, Wald Test, Classification Table , Classification Rate, ROC Curve*
**Multinomial Logistic Regression: ***Stepwise, ANOVA, Confidence Interval, Odds Ratio, Correlation Matrix, Variable Importance, Classification Table, Likelihood Ratio Test, Pseudo R*^{2}, Pearson chi-Square
**K-Means Cluster Analysis: ***Hartigan-Wong, Lloyd, Forgy. MacQueen.*
**Hierarchical Cluster Analysis: ***Distance - Euclidean, Maximum, Manhattan, Canberra, Binary, Minkowski. Method - ward.D, ward.D2, Single, Complete, Average, Mcquitty, Median, Centroid*
**Decision Tree:** *CART: Prior probabilities, Loss matrix, Split – Information / Gini, Minimum split, Minimum bucket, Complexity parameter, Maximum depth, Cross validation, Plot, Confusion matrix.*
**Neural Network: ***Normalization Method - Entropy, Softmax, Censored, Confusion Matrix*
**Time Series: ***Simple Exponential Smoothing, Holt’s Method, Holt Winter, ARIMA, ACF Plot, PACF Plot, Time Series Plot*
**Factor Analysis:** *Eigenvalues, Correlations of factor score estimates, Weights, Rotation Matrix, Path diagram, Scree Plot, Parallel Analysis Plot, Correlation Plot*
**Survival Curve:** *Kaplan-Meier, Fleming-Harrington, Nelson - Altschuler*
**Cox Regression:** *Efron, Breslow, Exact*
**Forest Plot**
**Reports**: *Report Tables, Group Summaries*

*STATCRAFT is currently in development and Source of the above features may get omitted or changed in the final product.