5 files changed, 38 insertions, 15 deletions
diff --git a/man/calplot.lm.Rd b/man/calplot.lm.Rd
index c2b8116..efdea3d 100644
--- a/man/calplot.lm.Rd
+++ b/man/calplot.lm.Rd
@@ -13,8 +13,9 @@
 }
 \arguments{
   \item{object}{
-    A univariate model object of class \code{\link{lm}} with model formula
-    \code{y ~ x} or \code{y ~ x - 1}.
+    A univariate model object of class \code{\link{lm}} or 
+    \code{\link[MASS:rlm]{rlm}} 
+    with model formula \code{y ~ x} or \code{y ~ x - 1}.
   }
   \item{xlim}{
     The limits of the plot on the x axis.
diff --git a/man/chemCal-package.Rd b/man/chemCal-package.Rd
new file mode 100644
index 0000000..a11744e
--- /dev/null
+++ b/man/chemCal-package.Rd
@@ -0,0 +1,17 @@
+\name{chemCal-package}
+\alias{chemCal-package}
+\docType{package}
+\title{
+Calibration functions for analytical chemistry
+}
+\description{
+See \url{../DESCRIPTION}
+}
+\details{
+There is a package vignette located in \url{../doc/chemCal.pdf}.
+}
+\author{
+Author and Maintainer: Johannes Ranke <jranke@uni-bremen.de>
+}
+\keyword{manip}
+}
diff --git a/man/din32645.Rd b/man/din32645.Rd
index 0a2a790..1a3c046 100644
--- a/man/din32645.Rd
+++ b/man/din32645.Rd
@@ -9,7 +9,19 @@
 \format{
   A dataframe containing 10 rows of x and y values.
 }
-\source{
-  \url{http://www.uft.uni-bremen.de/chemie}
+\examples{
+data(din32645)
+m <- lm(y ~ x, data=din32645)
+calplot(m)
+prediction <- inverse.predict(m,3500,alpha=0.01)
+# This should give 0.074 according to DIN (cited from the Dintest test data)
+round(prediction$Confidence,3)
+}
+\references{
+  DIN 32645 (equivalent to ISO 11843)
+
+  Dintest. Plugin for MS Excel for evaluations of calibration data. Written
+  by Georg Schmitt, University of Heidelberg. 
+  \url{http://www.rzuser.uni-heidelberg.de/~df6/download/dintest.htm}
 }
 \keyword{datasets}
diff --git a/man/draper.Rd b/man/draper.Rd
deleted file mode 100644
index 6a8de00..0000000
--- a/man/draper.Rd
+++ /dev/null
@@ -1,9 +0,0 @@
-\name{draper}
-\alias{draper}
-\title{Regression example with repeated measurements}
-\usage{data(draper)}
-\references{Draper and Smith, Applied Regression Analysis (1981), p. 38}
-\format{A dataframe with 24 observations on 2 variables}
-\description{An example of a regression with multiple measurements per
-factor level.}
-\keyword{datasets}
diff --git a/man/inverse.predict.Rd b/man/inverse.predict.Rd
index 48534c4..d773e58 100644
--- a/man/inverse.predict.Rd
+++ b/man/inverse.predict.Rd
@@ -1,6 +1,7 @@
 \name{inverse.predict}
 \alias{inverse.predict}
 \alias{inverse.predict.lm}
+\alias{inverse.predict.rlm}
 \alias{inverse.predict.default}
 \title{Predict x from y for a linear calibration}
 \usage{inverse.predict(object, newdata, 
@@ -9,8 +10,9 @@
 }
 \arguments{
   \item{object}{
-    A univariate model object of class \code{\link{lm}} with model formula
-    \code{y ~ x} or \code{y ~ x - 1}.
+    A univariate model object of class \code{\link{lm}} or 
+    \code{\link[MASS:rlm]{rlm}} 
+    with model formula \code{y ~ x} or \code{y ~ x - 1}.
   }
   \item{newdata}{ 
     A vector of observed y values for one sample.