All the data sets are available, except faithful and tree which are
already in R.

Additional datasets to work our examples are:

VA, heart

The following are fully operational:

ginv            generalized inverse
write.matrix    write matrix or numeric data frame
eqscplot        equally-scaled plots
area		simple integration 
mvrnorm         simulate from a multivariate normal distribution
truehist        histogram plots
nclass.scott    choose number of histogram classes
nclass.FD       choose number of histogram classes
hist.scott      histogram with other bin choices
hist.FD         histogram with other bin choices
frequency.polygon
nclass.freq     choose number of classes for frequency polygon
kde2d           2D kernel density estimation
ucv, bcv        cross-validation functions for density
width.SJ        bandwidth choice for density.
contr.sdif      contrasts function for successive differences
stdres          standardized residuals for linear models
studres         Studentized residuals for linear models
vcov            variance-covariance summary for linear, glm and 
                   non-linear regression fits
boxcox          estimate Box-Cox transformation
logtrans        estimate shift in log-transformations
fraction        methods for operating on rational fractions
stepAIC         stepwise AIC minimization
addterm, dropterm  enhanced versions of add1 and drop1
dose.p          function for LD50-like fits
neg.bin         negative binomial family with fixed theta
anova.negbin    functions for full negative binomial family
glm.convert
glm.nb
negative.binomial
rnegbin
theta.md
theta.mm
loglm           Object-oriented wrapper for loglin() (from complements)
gamma.shape     MLE of shape parameter for GLM fit with gamma family
gamma.dispersion                (from complements)
huber           Huber location with MAD scale
hubers          Huber proposal 2
rlm             robust linear model fitting (by Huber M-estimator)
deviance.nls    deviance function for nls fits
plot.profile    plot method for profiles
pairs.profile   pairs method for profiles
profile.glm	profiles for glm objects
lda             linear discrimination
predict.lda     predict function for lda
qda             quadratic discrimination
predict.qda     predict function for qda
sammon          Sammon non-linear mapping
isoMDS          isotonic multidimensional scaling
Shepard         Shepard plot for isoMDS
corresp         correspondence analysis
mca             multiple correspondence analysis (complements)
cpgram          cumulative periodogram
digamma, trigamma       first and second derivatives of log Gamma
		(even of complex argument).


The following depend on facilities not in R and so do not work:

Choleski        Choleski decompositions for Matrices
histplot        Trellis histogram plots
rms.curv        curvature measures for non-linear regression
deriv3          symbolic differentiation
D, make.call    extended functions
vcov.nlregb     vcov methods for nlregb objects
vcov.nlminb     vcov methods for nlminb objects


BDR <ripley@stats.ox.ac.uk> 1999/08/06

