Bill is right. Interpolators are good at, well, interpolating. Unless you have an expert understanding of the physics involved with the process (and build your model around the physics), extrapolated predictions will be unreliable.
You can force the interpolators to make predictions as far outside the data extent as you want, but this is generally a very bad idea. If you build the model correctly, you can trust the predictions within the data extent, but you should be very careful about any conclusions you draw outside that extent.