Hi,

I'm a new user of gstat, so my question is maybe very simple.

I'm trying to fit a variogram with the function fit.variogram and I get this
error message:

Warning: singular model in variogram fit
[1] "a possible solution MIGHT be to scale semivariances and/or distances"

My data have values between 2.54e-10  et 2.56e-06. If I multiply my data by
a constant in the semivariogram:

vario=variogram(NASC*10000000~1,data,cutoff=1000)

When I do this multiplication I'm able to fit a variogram.

So my question is, Is it possible to this? Can I back transform (by a
division) my predited values when the ordinary kriging will be done?

Thanks!

Sam

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