Recursive partitioning.

car.test.frame	Automobile Data from `Consumer Reports' 1990
cu.summary	Automobile Data from `Consumer Reports' 1990
kyphosis	~~ 1-line description of the data frame ~~
labels.rpart	Create Split Labels For an Rpart Object
meanvar	Mean-Variance Plot for an Rpart Object
model.frame.rpart	Create a Model Frame for fitting an Rpart Object
na.rpart	Handles Missing Values in an Rpart Object
path.rpart	Follow Paths to Selected Nodes of an Rpart Object
plot.rpart	Plot an Rpart Object
plotcp	Plot a Complexity Parameter Table for an Rpart Fit
post	PostScript Presentation Plot of an Rpart Object
predict.rpart	Predictions from a Fitted Rpart Object
print.rpart	Print an Rpart Object
printcp	Displays CP table for Fitted Rpart Object
prune	Cost-complexity Pruning of an Rpart Object
residuals.rpart	Residuals From a Fitted Rpart Object
rpart	Recursive Partitioning and Regression Trees
rpart.anova	Set up for `anova' Method for an Rpart Model
rpart.branch	Draws horseshoes - left child, up over, down to right child
rpart.class	Set up for `class' Method for an Rpart Model
rpart.control	Control for Rpart Models.
rpart.exp	Set up for `exp' Method for an Rpart Model
rpart.matrix	Creates model matrix from call to `rpart'.
rpart.object	Recursive Partitioning and Regression Trees Object
rpart.poisson	Set up for `poisson' Method for an Rpart Model
rpartco	Calculate Plotting Coordinates for Nodes of an Rpart Object
rsq.rpart	Plots the Approximate R-Square for the Different Splits
snip.rpart	Snip Subtrees of an Rpart Object
snip.rpart.mouse	Internal function called from `snip.rpart'
solder	~~ 1-line description of the data frame ~~
summary.rpart	Summarize a Fitted Rpart Object
text.rpart	Place Text on a Dendrogram
xpred.rpart	Return Cross-Validated Predictions