The inverse prediction works in a variety of cases and is

tested with Examples 7 and 8 from Massart!

I need to compare with the DIN and draper examples, and finish
the package vignette.



git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@6 5fad18fb-23f0-0310-ab10-e59a3bee62b4

1 files changed, 6 insertions, 9 deletions

diff --git a/INDEX b/INDEX
index ec2f1b4..3c17013 100644
--- a/INDEX
+++ b/INDEX
@@ -1,10 +1,7 @@
-calm					Generate a linear calibration model
-calplot                 Plot calibration graphs
-plot.calm				Plot prediction bands
-calpredict              Estimate measurement results including
-                        confidence intervals
-predict.calm			Estimate measurement results including confidence 
-						intervals
+calplot                 Plot calibration graphs from univariate linear
+                        models
 din32645                Calibration data from DIN 32645
-pahCalibration          Calibration data for HPLC measurement of 4 PAH
-pahMeasurements			Measurement data for HPLC measurement of 4 PAH
+draper                  Regression example with repeated measurements
+inverse.predict         Predict x from y for a linear calibration
+massart97ex3            Calibration data from Massart et al. (1997),
+                        example 3