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
• Descriptive panel data: validate, check the panel, relate to the product
  • The data contract
  • Designed versus observational
  • Step 0: get the data into long form
  • Step 1: validate
  • Step 2 and 3: check the panel and relate
  • Telling genuine drivers from proxies: the discriminator
  • Correcting the panel: the Mixed Assessor Model
  • Comparing designed treatments: ANOVA, Tukey HSD and Dunnett
  • Worked example
  • Using the tools from an agent