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process-improve 1.13.11 documentation

  • Quick Start
  • User Guide
  • API Reference
  • GitHub
  • Quick Start
  • User Guide
  • API Reference
  • 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)
  • Selecting the Number of Components
  • Experimental Strategy Recommendation
  • Case studies
    • Latent variable modelling
      • PCA on NIR tablet spectra
      • PCA on food texture
      • PCA with missing data: Kamyr digester
    • Least squares modelling
      • Regressing cheddar taste on chemical composition
    • Design and analysis of experiments
      • Factorial DOE: oil-company experiment
    • Process monitoring
      • Control charts for rubber colour
  • User Guide

User Guide#

  • Multivariate Analysis
    • When to Use These Methods
    • Available Methods
  • Selecting the Number of Components
    • PRESS Cross-Validation
    • Wold’s Criterion
  • 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
  • Case studies
    • Latent variable modelling
    • Least squares modelling
    • Design and analysis of experiments
    • Process monitoring
    • Sources and attribution

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