geoR enables you to do universal kriging, kriging where the mean is modelled on one or more Z variables, you can do this by specifying the trend component (your Z variable) with the likfit function (if you are using maximum liklihood based methods), or with variog function which is used with variofit for least squares based methods.
As Edzer pointed out there is also gstat, you may like to look at co-kriging which enables spatial information in your Z variable to be included in you interpolation. With co-kriging you end up using 3 variogram models compared to 1 used in universal kriging, but it may (or may not) give a more meaningful prediction depending on your problem.
Then with some cunning wizardry and a little luck you can then export to your GIS package.
Hope this helps Dave
Hello again,
There is any package which does Z aware (real 3D) interpolations? It can be any method (IDW, kriging or spline) but it should take into consideration not only x and y coordinates for interpolation, but also z coordinate. I looked into different packages but it seems i didn't find the right one.
The ultimate goal is to import the output into a GIS (Geographical Information System) for further analysis.
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