Log message:
Update to 2.0.18
Upstream changes:
Changes to Version 2.018
o Bug fix to boot with type="residual"
o Added densityPlot() function.
Changes to Version 2.017
o Add a variable to AMSsurvey.
o Fix to residualPlots to compute lack of fit tests with missing values and glms.
o Fix to residualPlots with a 0/1 variable not declared a factor.
o Boxplot() now works properly with at argument passed to boxplot() via ... \
(contribution of Steve Ellison).
o qqPlot.lm() now works with "aov" objects (fixing problem \
reported by Thomas Burk).
o Small fixes to code and docs.
Changes to Version 2.016
o Fixed bug in printing of hypotheses by linearHypothesis(), where numeric
constants of the form 1.* or 1.* were printed incorrectly (reported by Johannes \
Kutsam).
o Fixed a bug in showLabels() with multiple groups in the scatterplot() and \
scatterplotMatrix() function.
o linearHypothesisTest() now tolerates newlines and tabs in hypotheses \
(suggestion of David HughJones).
o two bugs fixed in Boot() (found by David Pain) changed argument f to f. in \
bootCase().
o summary.Boot(), confint.Boot() and hist.Boot() handle aliases correctly.
o Boxplot.formula() now accepts more than one conditioning variable \
(suggestion of Christina Yassouridis).
O Boxplot() now properly handles at argument passed through via ... to \
boxplot() (contribution of Steve Ellison).
o Small fixes.
Changes to Version 2.015
o Added an argument coef. to linearHypothesis so tests of the linear \
hypohtesis form can be computed without reference to a fitted model
o Added a linearHypothesis.nlsList method
o Added an nls method for Boot
o Recode() introduced as alias for recode() to avoid name clash with Hmisc.
o residualPlots for glms now ignore starting values for the computing \
algorithm when computing lack of fit tests; starting values previously caused an \
error.
o Marginal Model Plots now allow conditioning on a categorical variable.
Changes to Version 2.014
o Smoothers now given as arguments to scatterplot(), scatterplotMatrix(), \
residualPlots() and other functions; gamLine(), loessLine() (default), and \
quantregLine() smoothers provided.
o linearHypothesis.mer() and Anova.mer() now consistent with pbkrtest \
version 0.32.
o Small changes and fixes.
Changes to Version 2.013
o Added point marking (id.n, etc.) to dataEllipse
o Changed the default for id.method with the invTranPlot to "x".
o The ncvTest has been rewritten for stability, and unneeded 'data', \
'subset' and 'na.action' argument have been removed
o Added new function 'Boot' that is a simple frontend to boot::boot that \
will be useful when bootstrapping regression models. Implemented for lm and \
glm, but this is likely to work for many other S3 regression models with and \
'update' method, 'subset' argument.
o Fixed bug in 'compareCoefs' with nonfull rank models
o Modified 'bootCase' to return a matrix of class c("bootCase", \
"matrix") so generic functions can be written to summarize these \
objects.
o Minor changes to the returned value of showLabels to give both the label \
and the corresponding row number. showLabels documentation tweaked.
o Improved handling of center.pch argument to ellipse() (suggestion of Rob \
Kushler).
o New test argument for linearHypothesis.mer() and test.statistic argument \
for Anova.mer() for Ftests with Kenward/Roger df, provided by pbkrtest package.
o Anova.mlm() now will do univariate repeatedmeasures ANOVA even if the \
error SSP matrix is singular.
o hccm() will now accept a weighted linear models (suggestion of Stefan \
Holst Bache).
o deltaMethod.default() now applies coef() and vcov() to a model for which \
these are supported (generalizing a suggestion by Scott Kostyshak).
o Fixed handling of labels argument in scatterplot.formula() and \
scatterplotMatrix.formula().
o Fixed qqPlot.default() so that it honors line="none" (bug \
reported by Rob Kushler).
o Added new default method for confidenceEllipse(), which now can construct \
confidence ellipses for linear functions of coefficients.
o globalVariables() called for R 2.15.1 or later.
o Fixed bug in logit() when percents=TRUE and largest percent is 1 (reported \
by Eric Goodwin).
o Added radius argument to scatter3d() (suggestion of Antonino Messina).
o Fixed spurious errors message in scatter3d() when groups present but \
surface=FALSE (reported by David L. Carlson).

Log message:
Import Rcar2.0.11 as math/Rcar
This package accompanies J. Fox and S. Weisberg, An R Companion to
Applied Regression, Second Edition, Sage, 2011.
Used by math/RRcmdr.
OKed by wiz@.
