a collection of programs for curve and function fitting

actuator	Actuator force experiment.
actuator.calibrate	Actuator calibration experiment.
addreg	Additive nonparametric regression
as.surface	Creates an object for plotting using contour, persp or image
auto.paint	Data frame of paint measurements from the hood of a car.
BD	Data frame of the effect of buffer compositions on DNA strand displacement amplification.
BD2
bplot	boxplot
climate	Climate and geographical data for 50 largest US cities. Information on 50 largest US cities. List components: lon: longitude lat: latitude jan: average minimum January temperature (degrees F) rain: average rainfall in inches city: city names jul: average maximum July temperature elev: Elevation above sea level in KW. Reference: The Universal Almanac (1992), ed. John W. Wright, Andrews and McNeel, Kansas City.
cover.design	Generate a coverage design.
flame	Response surface for a intensity Results from an analytical chemistry lab at NCSU. The intensity of emitted light when a solution with Lithium is ionized in a flame. The two independent variables are the fuel and O2 flow rates for the flame. The goal is to identify flow rates that maximize the intensity. The ridge in this surface may be due to stoichiometric ratio of how the fuel and the oxygen combine to burn. A maxima is located near the edge of the operating region but it was found that for setting of flow rates outside the experimental region the mixture tended to explode! Data was generously provided by Charles Boss and Kevin Buckley.
krig	Kriging surface estimate
lle	Calculates local Lyapunov exponents for plotting.
lplot	Labeled plot
make.Amatrix	Matrix relating predicted values to the dependent (Y) values
make.Amatrix.krig	Computes matrix that relates predicted values to the vector of dependent variables (Y)
make.Amatrix.tps	Computes matrix that relates predicted values to the vector of dependent variables (Y)
make.drb	Evaluates the Demmler-Reinsch basis fucntions
make.lags	Lags vectors and covariates correctly so that an autoregressive model can be estimated by regression.
make.lle	Calculates global and local Lyapunov exponents
make.surface.grid	Makes a grid surface that can be plotted.
minitri	Mini triathlon results Results from a mini triathlon sponsored by Bud Lite, held in Cary, NC, June 1990. Times are in minutes for the male 30-34 group. Components are: swim: (1/2 mile) bike: (15 miles) run: (4 miles)
nkden	Normal kernel density estimate
nkden.cv	Cross- validation function for a normal kernel density estimate
nkreg	Normal kernel regression estimate
nlar	Nonlinear autoregressive model
nnreg	Fits a surface based on a neural network
nnregCI	Finds a confidence set of parameters for a neural net fit.
optim.funfits	Finds optimum within a region
ozone	Data set of ozone measurements at 20 Chicago monitoring stations.
path	Finds path of steepest ascent
persp.init,	Sets up axes for perspective plotting using other functions from persp family.
plot.krig	Diagnoistic and summary plots of the kriging object
plot.lle	Plots local Lyapunov exponents
plot.nnreg	Diagnoistic and summary plots of a neural net regression object
plot.sreg	Plots smoothing spline regression object
plot.surface	Plots a surface
plot.tps	Diagnoistic and summary plots for a thin plate spline regression object
plot.window	Creates a motif graphics window.
predict.krig	Evaluation of kriging surface
predict.netfit	Evaluation of a neural net fit based on a model component
predict.nnreg	Evaluation of neural net surface.
predict.se	Standard errors of predictions
predict.se.krig	Standard errors of predictions for kriging estimate
predict.se.tps	Standard errors of predictions for thin plate spline regression
predict.surface	Evaluates a function on a surface
predict.surface.se	Standard error predictions of surface
predict.tps	Evaluation of thin plate spline surface.
print.krig	Print kriging fit results.
print.nnreg	Print nnreg fit results
print.tps	Print thin plate spline fit results
qspreg	Quantile spline regression
rossler	A time series obtained by sampling the first variable (X) of the Rossler system. See the help file rossler.state for details of the system.
rossler.state	A multivariate time series of the form W_t=f(W_t-1) + e_t. The Rossler system is a system of three first order nonlinear ODEs. The system has been numerically integrated with a time step size of .1 and noise that is distributed normal with mean =0 and sigma=.1 is added at every time step. The map f is highly nonlinear and has complicated structure not easily fit by simple regression methods. The time series is created by sampling every 5 time steps. The rossler object is a matrix with columns the x,y and z values of the system at the sampling times.
rtps	Robust thin plate spline regression
set.panel	Specify a panel of plots
splint	Cubic spline interpolation
spreg	Smoothing spline regression
sreg	Smoothing spline regression
stats	Calculate summary statistics
summary.krig	Summary for krigging fit
summary.netfit	Summary of parameters of netfit object
summary.nnreg	Summary for neural net regression
summary.tps	Summary for thin plate spline regression
surface	Plots a surface
surface.addreg	Plots a surface and contours
surface.krig	Plots a surface and contours
surface.nnreg	Plots a surface and contours
surface.surface	Plots a surface
surface.tps	Plots a surface and contours
tps	Thin plate spline regression
tpsreg	Thin plate spline regression ~function to do ???
vgfast	Fast variogram for replicated fields
vgram	Variogram
write.data	Writes data set out to a file
xline	Draw a vertical line
yline	Draw a horizontal line