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## Documentation
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*[QuickStart Guide](https://darrenjw.github.io/scala-glm/QuickStart.html) - start with this to get a feeling for what the library can do
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*[Flexible regression](https://darrenjw.github.io/scala-glm/FlexibleRegression.html) - guide to flexible and non-parametric regression, using orthogonal polynomial, cosine series, and B-spline basis functions
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*[Flexible regression](https://darrenjw.github.io/scala-glm/FlexibleRegression.html) - guide to flexible and non-parametric regression, using orthogonal polynomials, cosine series, and B-spline basis functions
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* The [examples subdirectory](examples/src/main/scala/) of this repo contains more interesting, self-contained runnable examples
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*[API documentation](https://darrenjw.github.io/scala-glm/scalaglm.html) - ScalaDoc (for the most recent snapshot)
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* For anyone not very familiar with Scala or Breeze, it may be worth working through my [Scala for Statistical Computing short course](https://github.com/darrenjw/scala-course). This library originated from example code prepared for that course.
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