Dear List,

I've been performing the ordinary kriging using the krige.conv() function,
and I have come across something I don't understand.
In order perform the kriging, one has to input the covariance parameters in
krige.control(..., cov.pars=c(a, b), ...). Those can be obtained form the
variofit() function, right?

variofit() estimates the initial covariance parameters and the estimated
ones. The least ones are to be input in the krige.control() function, right?

Then, what is to be input in the krige.control(obj.model)? Or this option is
required in some special cases, and I should rather skip it?

Thank you, in advance.

-- 
Best
Lyolya.

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