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Bad RMSE for Validation data

Using "Fit Model" I have created a model to identify moisture content in a product using different process parameters. The model is fine (Rsq=0.97) and a fairly low RMSE. The variables used all have Logworth higher than the limit. The problem arises when I want to take in new data for validation. Here the prediction is very bad. The data that I want to validate is not very different from the data used in test-set. When I include the validation data as testset-data, they fit very well into the model the moisture prediction error is similar to the "orginal" data

I have a model consisting of both main effects and interactions. What I am doing wrong?