R: Modern Regression: Smoothing and Local Methods

# Modern Regression: Smoothing and Local Methods

anova.loess | Local Polynomial Regression Fitting
ksmooth | Kernel Regression Smoother
loess | Local Polynomial Regression Fitting
loess.control | Set Parameters for Loess
loess.smooth | Scatter Plot with Smooth Curve Fitted by Loess
plot.ppr | Plot Ridge Functions for Projection Pursuit Regression Fit
ppr | Projection Pursuit Regression
predict.loess | Predict Loess Curve or Surface
predict.ppr | Projection Pursuit Regression
predict.smooth.spline | Predict from Smoothing Spline Fit
predict.smooth.spline.fit | Fit a Smoothing Spline
print.loess | Local Polynomial Regression Fitting
print.ppr | Projection Pursuit Regression
print.smooth.spline | Fit a Smoothing Spline
print.summary.loess | Local Polynomial Regression Fitting
print.summary.ppr | Projection Pursuit Regression
rock | Measurements on Petroleum Rock Samples
scatter.smooth | Scatter Plot with Smooth Curve Fitted by Loess
smooth.spline | Fit a Smoothing Spline
summary.loess | Local Polynomial Regression Fitting
summary.ppr | Projection Pursuit Regression
supsmu | Friedman's SuperSmoother