.netCHARTING v10.5 Documentation


dotnetCHARTING Namespace > ForecastEngine Class > TrendLinePolynomial Method : TrendLinePolynomial(SeriesCollection,Int32) Method
A collection of series objects. For example, to evaluate this indicator for two series you will need to pass a series collection containing this two series.
The degree of the polynomial which is fitted to the data set given (i.e. if degree is 2, then a quadratic is fitted).
TrendLinePolynomial(SeriesCollection,Int32) Method
Fits a polynomial of a given degree to a data set in accordance with the least squares approach and returned the values of the fitted function over the same range of the x-coordinate as the given data set.
Syntax
'Declaration
 
Public Overloads Shared Function TrendLinePolynomial( _
   ByVal sc As SeriesCollection, _
   ByVal degree As Integer _
) As SeriesCollection
'Usage
 
Dim sc As SeriesCollection
Dim degree As Integer
Dim value As SeriesCollection
 
value = ForecastEngine.TrendLinePolynomial(sc, degree)
public static SeriesCollection TrendLinePolynomial( 
   SeriesCollection sc,
   int degree
)

Parameters

sc
A collection of series objects. For example, to evaluate this indicator for two series you will need to pass a series collection containing this two series.
degree
The degree of the polynomial which is fitted to the data set given (i.e. if degree is 2, then a quadratic is fitted).
Remarks
For example, if we fit a polynomial of degree 2, then we fit the quadratic polynomial (i.e. f(x) = a_0 + a_1 x + a_2 x^2); similarly if we fit a polynomial of degree 3, then we fit the cubic polynomial (i.e. f(x) = a_0 + a_1 x + a_2 x^2 + a_3 x^3).
Requirements

Target Platforms: Windows 7, Windows Vista SP1 or later, Windows XP SP3, Windows Server 2008 (Server Core not supported), Windows Server 2008 R2 (Server Core supported with SP1 or later), Windows Server 2003 SP2

See Also