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Statistical tools for data analysis in manufacturing
Statistical tools for data analysis in manufacturing






Anderson-Darling Normality test is applied to residuals in order to automatically select Normal or Koenker (Robust) version.

  • Test for Constant Variance: Breusch-Pagan.
  • R-Square K-Fold & StDev K-Fold (K-Fold Cross Validation).
  • R-Square Predicted (Leave-One-Out Cross Validation).
  • Lenth Pseudo Standard Error for Saturated Models (Orthogonal or Non-Orthogonal) with Monte Carlo or Student T P-Values.
  • ANOVA Type I and/or Type III Sum-of-Squares with Pareto of Percent Contribution and Standardized Effects.
  • Specify interactions, quadratic and higher orders (all interactions or up to 3-Way).
  • Automatic removal of extreme VIF or collinear terms (with alias and removal report).
  • Main Effects and Interaction Plots (Fitted Means).
  • Residual Plots (Regular, Standardized, Studentized – Deleted t).
  • (1, 0) or (-1,0,+1) coding of categorical predictors.
  • statistical tools for data analysis in manufacturing

  • Option to display regression equation with unstandardized coefficients.
  • Standardization and coding of continuous predictors.







  • Statistical tools for data analysis in manufacturing