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authorranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2006-06-23 15:33:27 +0000
committerranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2006-06-23 15:33:27 +0000
commit9e0dae397df8c18e7333d2604cae96b2a7927420 (patch)
treeb513b791985426bab6c18850d2f8c308c411c1a5 /tests/din32645.Rout.save
parentfb7ea47c774f67b8c26a6844f4ade8935a8653cc (diff)
- 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
Diffstat (limited to 'tests/din32645.Rout.save')
-rw-r--r--tests/din32645.Rout.save10
1 files changed, 6 insertions, 4 deletions
diff --git a/tests/din32645.Rout.save b/tests/din32645.Rout.save
index 10cd1ab..c5ed5a7 100644
--- a/tests/din32645.Rout.save
+++ b/tests/din32645.Rout.save
@@ -1,6 +1,6 @@
R : Copyright 2006, The R Foundation for Statistical Computing
-Version 2.3.0 (2006-04-24)
+Version 2.3.1 (2006-06-01)
ISBN 3-900051-07-0
R is free software and comes with ABSOLUTELY NO WARRANTY.
@@ -15,10 +15,12 @@ Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
-> library(chemCal)
+> require(chemCal)
+Loading required package: chemCal
+[1] TRUE
> 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)
$Prediction
[1] 0.1054792

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