Class/Object

infcalcs

OLS

Related Docs: object OLS | package infcalcs

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class OLS extends AnyRef

Class that perfoms ordinary least squares regression

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Instance Constructors

  1. new OLS(xs: DenseMatrix[Double], ys: DenseVector[Double], label: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. lazy val beta: DenseVector[Double]

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  6. lazy val betaCov: DenseMatrix[Double]

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  7. lazy val betaCovRobust: DenseMatrix[Double]

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  8. lazy val betaVar: DenseVector[Double]

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  9. lazy val betaVarRobust: DenseVector[Double]

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  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  11. lazy val coeffOfDetermination: Double

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  12. val dof: Int

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  13. final def eq(arg0: AnyRef): Boolean

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  14. def equals(arg0: Any): Boolean

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  15. lazy val errs: DenseVector[Double]

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  16. def finalize(): Unit

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  17. def fit: (DenseVector[Double]) ⇒ Double

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  18. final def getClass(): Class[_]

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  19. def hashCode(): Int

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  20. lazy val iConf95: Double

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  21. lazy val iRobustConf95: Double

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  22. lazy val iRobustSE: Double

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  23. lazy val iSE: Double

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  24. lazy val intercept: Double

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  25. final def isInstanceOf[T0]: Boolean

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  26. val k: Int

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  27. val label: String

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  28. val n: Int

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  29. final def ne(arg0: AnyRef): Boolean

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  30. final def notify(): Unit

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  31. final def notifyAll(): Unit

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  32. lazy val sConf95: Double

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  33. lazy val sRobustConf95: Double

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  34. lazy val sRobustSE: Double

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  35. lazy val sSE: Double

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  36. lazy val slope: Double

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  37. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
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  38. def toFile(f: String): Unit

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    Writes the regression data to a file.

    Writes the regression data to a file.

    Each datapoint is written to the file on its own line, with the x and y values separated by a space. The third column contains the fitted values

    f

    The name of the file to write.

  39. def toString(): String

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  40. final def wait(): Unit

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  41. final def wait(arg0: Long, arg1: Int): Unit

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  42. final def wait(arg0: Long): Unit

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  43. val xs: DenseMatrix[Double]

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  44. val ys: DenseVector[Double]

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