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 
