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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

  • Latent variable modelling
    • PCA on NIR tablet spectra
    • PCA on food texture
    • PCA with missing data: Kamyr digester
    • MBPLS with missing data: LDPE tubular reactor
    • MBPCA with missing data: LDPE tubular reactor
  • 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
  • Case studies
  • Least squares modelling

Least squares modelling#

Worked case studies that fit a response variable to one or more predictors with ordinary least squares, and read the diagnostics that come with the fit.

  • Regressing cheddar taste on chemical composition

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MBPCA with missing data: LDPE tubular reactor

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Regressing cheddar taste on chemical composition

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