designed
Appends a self-contained regression-analysis section for a single response from de.
This bridge function fits an OLS model to the across-replication mean responses at each design point and delegates all rendering to the existing regressionSummary, regressionParameters, and (optionally) regressionDiagnostics extension functions.
Produces (inside a section titled caption or "Regression Analysis — <responseName>"):
Regression Setup
DataTable— response name, factor count, term count (excluding intercept), intercept flag, and display scaleANOVA and Model Fit — via regressionSummary: ANOVA table, R², adjusted R², RMSE, and overall F-test p-value
Coefficients — via regressionParameters: coefficient estimates, standard errors, t-statistics, p-values, and confidence intervals with significance codes
Diagnostics (when showDiagnosticPlots is
true) — via regressionDiagnostics: residual summary, normal probability plot, residuals-vs-fitted plot, and residuals-vs-order plot
Prerequisite: de must have been executed before calling this function; otherwise DesignedExperimentIfc.regressionResults will have no data.
Parameters
the DesignedExperimentIfc whose results supply the regression data
the name of the response to fit; must appear in de.responseNames
the model specification (factors, interaction terms, intercept flag)
confidence level for coefficient intervals; defaults to 0.95
true (default) = coded (−1/+1) scale; false = original scale
true (default) = include residual diagnostic plots; false = summary and coefficients only (useful for large documents)
optional section title; defaults to "Regression Analysis — <responseName>"