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README.md

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@@ -33,7 +33,9 @@ We also have a function `chebregression(x, y, [lb, ub,], order)` that
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can perform multidimensional Chebyshev least-square fitting. It
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returns a Chebyshev polynomial of a given `order` (tuple) fit
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to a set of points `x[i]` and values `y[i]`, optionally in a box
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with bounds `lb, ub` (which default to bounding box for `x`). For fitting
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with bounds `lb, ub` (which default to bounding box for `x`).
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For fitting
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from arbitrary points `x` (not Chebyshev points) and/or for fitting
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noisy data, it is generally advisable
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for the number of points to be much larger than the number of polynomial

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