- 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

1 files changed, 3 insertions, 3 deletions

diff --git a/tests/din32645.R b/tests/din32645.R
index dc0aee6..e5ffed7 100644
--- a/tests/din32645.R
+++ b/tests/din32645.R
@@ -1,7 +1,7 @@
-library(chemCal)
+require(chemCal)
 data(din32645)
-m <- lm(y ~ x, data=din32645)
-inverse.predict(m,3500,alpha=0.01)
+m <- lm(y ~ x, data = din32645)
+inverse.predict(m, 3500, alpha = 0.01)
 lod <- lod(m, alpha = 0.01, beta = 0.5)
 lod(m, alpha = 0.01, beta = 0.01) 
 loq <- loq(m, alpha = 0.01)