User Guide# Multivariate Analysis When to Use These Methods Available Methods Cross-Validation Selecting the Number of Components PRESS Cross-Validation Wold’s Criterion PLS Component Selection PLS Beta Coefficient Error Bars Model Evaluation and Visualization Choosing the Number of Components Explained Variance Correlation Loadings Observed versus Predicted Regression Coefficients Comparing Two Data Blocks Experimental Strategy Recommendation When to Use This Tool Concepts Quick Start Interpreting the Output Working with Budget Constraints Using Prior Knowledge Domain-Specific Strategies Hard-to-Change Factors Multiple Responses See Also Evaluating Design Quality When to Use This Tool Quick Start The Metrics Region Sampling and Reproducibility Tunable FDS Curve See Also Generating OMARS Designs Quick start The method Performance: iterations and timing by factor count Limitations References