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I'm used to using Caret to do classification but now I need to use it for regression.

I have successfully trained a model on my training set but I'm not sure what the next steps are to validate my model against my test set. With classification I've been using a confusion matrix but I can't find out what the equivalent is for regression models.

How should I evaluate my regression model using the test set?

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The basic caret functions are postResample (a horrible name) and defaultSummary.

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