# CochraneOrcutt

#### class CochraneOrcutt[K] extends LinearRegressorFitter[K]

Linear Supertypes
Ordering
1. Alphabetic
2. By inheritance
Inherited
1. CochraneOrcutt
2. LinearRegressorFitter
3. RegressorFitter
4. SupervisedFitter
5. Fitter
6. AnyRef
7. Any
1. Hide All
2. Show all
Visibility
1. Public
2. All

### Value Members

1. #### final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
2. #### final def !=(arg0: Any): Boolean

Definition Classes
Any
3. #### final def ##(): Int

Definition Classes
AnyRef → Any
4. #### final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
5. #### final def ==(arg0: Any): Boolean

Definition Classes
Any

Definition Classes
RegressorFitter
7. #### final def asInstanceOf[T0]: T0

Definition Classes
Any

9. #### var calcCommonStatistics: Boolean

Definition Classes
LinearRegressorFitter
10. #### var calcStandardErrors: Boolean

Definition Classes
LinearRegressorFitter
11. #### def calculateCommonStatistics[M[K] <: LinearRegressorModel[K]](model: M[K], drmTarget: DrmLike[K], residuals: DrmLike[K]): M[K]

Definition Classes
LinearRegressorFitter

13. #### def calculateStandardError[M[K] <: LinearRegressorModel[K]](X: DrmLike[K], drmTarget: DrmLike[K], drmXtXinv: Matrix, model: M[K]): M[K]

Definition Classes
LinearRegressorFitter
14. #### def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
15. #### final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
16. #### def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
17. #### def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )

19. #### def fitPredict(drmX: DrmLike[K], drmTarget: DrmLike[K], hyperparameters: (Symbol, Any)*): DrmLike[K]

Definition Classes
RegressorFitter
20. #### def generateSummaryString[M[K] <: LinearRegressorModel[K]](model: M[K]): String

Definition Classes
LinearRegressorFitter
21. #### final def getClass(): Class[_]

Definition Classes
AnyRef → Any
22. #### def hashCode(): Int

Definition Classes
AnyRef → Any
23. #### final def isInstanceOf[T0]: Boolean

Definition Classes
Any

25. #### var model: RegressorModel[K]

Definition Classes
RegressorFitter
26. #### def modelPostprocessing[M[K] <: LinearRegressorModel[K]](model: M[K], X: DrmLike[K], drmTarget: DrmLike[K], drmXtXinv: Matrix): M[K]

Definition Classes
LinearRegressorFitter
27. #### final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
28. #### final def notify(): Unit

Definition Classes
AnyRef
29. #### final def notifyAll(): Unit

Definition Classes
AnyRef

32. #### def setStandardHyperparameters(hyperparameters: Map[Symbol, Any] = Map('foo -> None)): Unit

Definition Classes
LinearRegressorFitter
33. #### final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
34. #### def toString(): String

Definition Classes
AnyRef → Any
35. #### final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
36. #### final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
37. #### final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )