Data Description
1D – Simple Data Description
2D – Detailed Data Description

Group Comparisons
3D – t tests
7D – One and Two way ANOVA with Data Screening

Plots and Hisotgrams
5D – Hisotgrams and Univariate Plots
6D – Bivariate Plots
9D – Multiway Description of Groups

Frequency Tables
4F – Measures of Association and the Log-Linear Model

Correspondence Analysis
CA – Correspondence Analysis

Regression
1R - Linear Regression by Groups
2R - Stepwise Regression
4R - Regression on Principal Components and Ridge Regression
6R – Partial Correlation and Multiple Regression
9R – All Subsets Regression

Maximum Likelihood Estimation
LE – Maximum Likelihood Estimation

Non-Linear Regression
AR – Derivative-Free Nonlinear Regression
3R – Nonlinear Regression
5R – Polynomial Regression
LR - Stepwise Logistic Regression
PR – Polychotomous Logistic Regression

Multivariate Analysis
4M – Factor Analysis
5M – Linear and Quadratic Discriminant Analysis
6M – Canonical Correlation Analysis
7M – Stepwise Discriminant Analysis
8M – Boolean Factor Analysis
9M – Linear Scores for Preference Pairs

Nonparametric Analysis
3S – Nonparametric Statistics

Cluster Analysis
KM – K-Means Clustering of Cases
1M – Cluster Analysis of Variables
2M – Cluster Analysis of Cases
3M – Block Clustering

Missing Values
8D – Correlations with Missing Data
AM – Description & Estimation of Missing Data

Survival Analysis
1L – Life Tables and Survivor Functions
2L – Survival Analysis with Covariates – Cox Models

Times Series
1T – Univariate & Bivariate Spectral Analysis
2T – Box-jenkins Time Series Analysis