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"Direction of fit" is a concept primarily used in the context of statistical modeling and estimation, particularly when discussing how well a model describes observational data. It essentially refers to whether the model's predictions tend to be higher or lower than the actual observed values. There are two main types of direction of fit: 1. **Fits to the Data**: In this scenario, the model aims to minimize the difference between observed values and the values predicted by the model.

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