- The vignette is in a publisheable state

- In addition to the Massart examples, the sample data from dintest (DIN 32645)
  has been tested
- inverse.predict and calplot now also work on glm objects



git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@7 5fad18fb-23f0-0310-ab10-e59a3bee62b4

1 files changed, 4 insertions, 2 deletions

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.