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mwaskom__seaborn-3010

This task is about fixing a GitHub issue in the mwaskom/seaborn repository. The current directory doesn't contain the seaborn codebase. Based on the traceback, I can see the issue is in seaborn/_stats/regression.py. The problem is that…

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Content

This task is about fixing a GitHub issue in the mwaskom/seaborn repository. The current directory doesn't contain the seaborn codebase. Based on the traceback, I can see the issue is in `seaborn/_stats/regression.py`. The problem is that `PolyFit._fit_predict` doesn't handle missing data (None/NaN values) before calling `np.polyfit`.

Looking at the traceback:
1. The error occurs when calling `np.polyfit(x, y, self.order)` in line 30 of `regression.py`
2. The `_fit_predict` method needs to filter out missing values before processing

Let me generate a patch based on the traceback information s

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