Advanced Linear and Nonlinear Models

Multivariate Exploratory Techniques

Industrial Statistics and Six Sigma

Variance Estimation and Precision

**Input Data and Data Acquisition**

Multiple Copies of Data Source

Feature Selection and Variable Screening

Analyze Var Lists & Determine Categorical Vars

**General Slicer, Dicer, and Explorer**

Breakdown non-factorial tables

Categorized 2D Line Plots (Variables)

Categorized Missing/Range Data Plots

Categorized Means with Error Bars Plots

**Classification and Discrimination**

Split Input Data into Training and Testing Samples (Classification)

Best-Subset and Stepwise GDA ANCOVA With Deployment

Standard Classification Trees With Deployment (C And RT)

Standard Classification CHAID With Deployment

Exhaustive Classification CHAID With Deployment

Boosting Classification Trees with Deployment

Random Forest Classification with Deployment

Logit Regression with Deployment

Probit Regression with Deployment

Multilayer Perceptron with Deployment (Classification)

Radial Basis Function with Deployment (Classification)

MARSplines For Classification With Deployment

Support Vector Machine with Deployment (Classification)

Naive Bayes with Deployment (Classification)

K-Nearest Neighbors with Deployment (Classification)

Combining Groups Classification with Deployment

Compute Overlaid Lift Charts from All Models

Compute Best Predicted Classification from all Models

Compute Best Predicted Classification with Prediction Probabilities from all Models

Clear all Deployment Info (Classification)

**Regression Modeling and Multivariate Exploration**

Split Input Data into Training and Testing Samples (Regression)

Standard Multiple Regression with Deployment

Best-Subset and Stepwise ANCOVA with Deployment

Standard Regression Trees (C And RT) with Deployment

Standard Regression CHAID with Deployment

Exhaustive Regression CHAID with Deployment

Boosting Regression Trees with Deployment

Random Forest Regression with Deployment

Multilayer Perceptron with Deployment (Regression)

Radial Basis Function with Deployment (Regression)

MARSplines For Regression With Deployment

Support Vector Machine with Deployment (Regression)

K-Nearest Neighbors with Deployment (Regression)

Combining Groups Regression with Deployment

Compute Best Prediction From All Models

Clears All Deployment Info (Regression)

**General Forecaster and Time Series**

Create/Filter Single-Series Data Sources

Simple Exponential Smoothing and Forecasting

Exponential Smoothing and Forecasting

Generalized Regression Neural Network

Chi-Square Probability Calculator

Correlation Probability Calculator

Extreme Value Probability Calculator

Exponential Probability Calculator

Laplace Probability Calculator

Logistic Probability Calculator

Log-Normal Probability Calculator

Rayleigh Probability Calculator

Student's t Probability Calculator

Weibull Probability Calculator

**Comparing and Merging Multiple Data Sources**

**Interpretation of Variable Lists**

How Variable Lists (from the Input Descriptor) are Interpreted in the Analytic Nodes