- inverse.predict now has a var.s argument instead of the never

  tested ss argument. This is documented in the updated vignette
- loq() now has w.loq and var.loq arguments, and stops with a message
  if neither are specified and the model has weights.
- calplot doesn't stop any more for weighted regression models, but
  only refrains from drawing prediction bands
- Added method = "din" to lod(), now that I actually have it (DIN 32645) and
  was able to see which approximation is used therein.
- removed the demos, as the examples and tests are already partially 
  duplicated
- The vignette is more of a collection of various notes, but should 
  certainly be helpful for the user.
- Version bump to 0.1-xxx



git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@16 5fad18fb-23f0-0310-ab10-e59a3bee62b4

2 files changed, 0 insertions, 13 deletions

diff --git a/demo/00Index b/demo/00Index
deleted file mode 100644
index a548abc..0000000
--- a/demo/00Index
+++ /dev/null
@@ -1 +0,0 @@
-massart97ex8	Analysis of example 8 in Massart (1997)
diff --git a/demo/massart97ex8.R b/demo/massart97ex8.R
deleted file mode 100644
index 0a49ec2..0000000
--- a/demo/massart97ex8.R
+++ /dev/null
@@ -1,12 +0,0 @@
-data(massart97ex3)
-attach(massart97ex3)
-xi <- levels(factor(x))
-yx <- split(y,factor(x))
-ybari <- sapply(yx,mean)
-si <- round(sapply(yx,sd),digits=2)
-wi <- round(1/(si^2),digits=3)
-weights <- wi[factor(x)]
-m <- lm(y ~ x,w=weights)
-inverse.predict(m, 15, ws = 1.67)
-inverse.predict(m, 90, ws = 0.145)
-#calplot(m)