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process-improve 1.48.0 documentation

  • Quick Start
  • Architecture overview
  • Scaling and memory
  • User Guide
  • API Reference
    • Applied DoE
    • Case studies
    • Development
  • GitHub
  • Quick Start
  • Architecture overview
  • Scaling and memory
  • User Guide
  • API Reference
  • Applied DoE
  • Case studies
  • Development
  • GitHub

Section Navigation

  • Multivariate Analysis
    • Principal Component Analysis (PCA)
    • Projection to Latent Structures (PLS)
    • T-shaped Partial Least Squares (TPLS)
    • Multi-block PCA and PLS (MBPCA / MBPLS)
  • Cross-Validation
  • Model Evaluation and Visualization
  • Experimental Strategy Recommendation
  • Evaluating Design Quality
  • Generating OMARS Designs
  • User Guide

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

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