logical indicating whether to omit rows with missing values.
method
optimization method.
control
list of control values.
print.short.p
logical indicating whether to print a short summary.
print.long.p
logical indicating whether to print a long summary.
print.anova.p
logical indicating whether to print an ANOVA table.
print.intervals.p
logical indicating whether to print confidence intervals for parameters.
save.name
name of data set in which to save fit and residuals.
save.level
integer vector giving the level(s) of grouping to be used in obtaining
fit and residuals.
save.fit.p
logical indicating whether to save fitted values.
save.pearson.p
logical indicating whether to save pearson residuals.
save.normalized.p
logical indicating whether to save normalized residuals.
save.response.p
logical indicating whether to save response residuals.
plotResidVsFit.p
logical indicating whether to create residual vs. fit plot.
plotSqrtAbsResid.p
logical indicating whether to create sqrt abs residual vs. fit plot.
plotResponseVsFit.p
logical indicating whether to create response vs. fit plot.
plotQQ.p
logical indicating whether to create QQ plot.
plotAugPred.p
logical indicating whether to create augmented predictors plot.
plotAcf.p
logical indicating whether to create ACF plot of residuals.
plotVariogram.p
logical indicating whether to create variogram plot of residuals.
plotFormula.p
logical indicating whether to create plot for user-specified formula.
plotGroupVars
logical indicating grouping variables. If specified then all appropriate
plots will be Trellis plots with separate plots for each grouping variable
level.
plotGrid.p
logical indicating whether to include grid lines on all appropriate plots.
plotAugPrimary
primary variable for augmented predictors.
plotAugMin
minimum primary value for augmented predictors.
plotAugMax
maximum primary value for augmented predictors.
plotAugLength
number of primary values for augmented predictors.
plotVariogramFormula
formula for variogram in variogram plot.
plotFormulaString
formula for formula plot.
predict.p
logical indicating whether to save standard predictions as in Linear
Regression.
predName
name of data set in which to save standard predictions.
predNewdata
new data for standard predictions.
augPred.p
logical indicating whether to save augmented predictions.
augPredName
name of data set in which to save augmented predictions.
augPredPrimary
primary variable for augmented predictions.
augPredMin
minimum primary value for augmented predictions.
augPredMax
maximum primary value for augmented predictions.
augPredLength
number of primary values for augmented predictions.