SourcePro® API Reference Guide

 
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RWRegressionDataChange< T, S > Class Template Reference

Base class for data change objects when adding predictor variables or observations to a parameter calculation. More...

#include <rw/analytics/regcalc.h>

Inheritance diagram for RWRegressionDataChange< T, S >:
RWAddObservations< T, S > RWAddPredictors< T, S > RWRemoveObservations< T, S > RWRemovePredictors< T, S >

Public Member Functions

bool baseToLast () const
 
const RWMathVec< S > & newObservationVec () const
 
const RWGenMat< T > & newRegressionMat () const
 
void setBaseToLast (bool s)
 
void setNewObservationVec (const RWMathVec< S > &o)
 
void setNewRegressionMat (const RWGenMat< T > &r)
 

Detailed Description

template<class T, class S>
class RWRegressionDataChange< T, S >

Base class for the data change objects which are used to hold information about adding predictor variables or observations to a parameter calculation object's base calculation.

Member Function Documentation

◆ baseToLast()

template<class T , class S >
bool RWRegressionDataChange< T, S >::baseToLast ( ) const
inline

Returns true if the base calculation is to be set to the new regression matrix and new observation vector.

◆ newObservationVec()

template<class T , class S >
const RWMathVec< S > & RWRegressionDataChange< T, S >::newObservationVec ( ) const
inline

Returns the new observation vector.

◆ newRegressionMat()

template<class T , class S >
const RWGenMat< T > & RWRegressionDataChange< T, S >::newRegressionMat ( ) const
inline

Returns the new regression matrix.

◆ setBaseToLast()

template<class T , class S >
void RWRegressionDataChange< T, S >::setBaseToLast ( bool s)
inline

Sets the base to last option to s.

◆ setNewObservationVec()

template<class T , class S >
void RWRegressionDataChange< T, S >::setNewObservationVec ( const RWMathVec< S > & o)
inline

Sets the new observation to o.

◆ setNewRegressionMat()

template<class T , class S >
void RWRegressionDataChange< T, S >::setNewRegressionMat ( const RWGenMat< T > & r)
inline

Sets the new regression matrix to r.

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