R help - Dec 2012 - How to make Ordinary Kriging using gstat predict?

Hi, 
I am new in R and trying to implement an algorithm which makes ordinary kriging
by using gstat library and the predict method.
I use the predict method as following: 
First, I create an object g: 
g <- gstat(id="tec", formula=TEC ~ 1, data=data) ## Create gstat
object called g
And then I use this object in the predict. 
p <- predict.gstat(g, model=mod, newdata=predGrid, nsim=0) 

My problem is that instead of Ordinary kriging, when I run the algorithm I get:
Inverse distance weighted interpolation.
Why is that? What am I missing or doing wrong? 

Thanks in advance 
Dimitris

 		 	   		  
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> -----Original Message-----
> My problem is that instead of Ordinary kriging, when I run 
> the algorithm I get: Inverse distance weighted interpolation. 
> Why is that? What am I missing or doing wrong? 
The gstat manual at http://www.gstat.org/gstat.pdf says on p16 that  "When
no variograms are specified, inverse distance weighted interpolation
is the default action (Fig. 2.1, example [6.3]).
When variograms are specified the default prediction method is ordinary
kriging Journel and Huijbregts (1978); Cressie (1993) (example [6.4] and
example [6.8])."

It looks like reading that manual may be useful ...

S Ellison

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