RegModels.MulLinEval Method

Overload List

#	Signature	Description
1	void MulLinEval(Double[] B, TMtx X, TVec YHat, Boolean Constant)	Evaluates b[0] + b[1]x[0] + b[2]x[1] + ... for given values in X vector, parameters in B array, and returns the results in XHat vector.
2	Double MulLinEval(Double[] B, TVec X, Boolean Constant)	Evaluates multiple linear function.

Overload 1: void MulLinEval(Double[] B, TMtx X, TVec YHat, Boolean Constant)

Evaluates b[0] + b[1]*x[0] + b[2]*x[1] + ... for given values in X vector, parameters in B array, and returns the results in XHat vector.

#	Name	Type	Description
1	B	Double[]
2	X	TMtx	source TMtx
3	YHat	TVec	source TVec
4	Constant	Boolean

Result: stored in self (calling object)

Remarks:

Size and Complex properties of XHat vector are adjusted automatically.

Note
Use this version if you want to evaluate multiple linear function for multiple values at the same time. This is a lot faster than calling single value version for each x value.

Examples

using Dew.Math;
using Dew.Stats.Units;
namespace Dew.Examples
{
    private void Example()
    {
        Matrix X = new Matrix(0,0);
        Vector YHat = new Vector(0);
        X.SetIt(3,3,false,new double[]{2, -3, 5,
            1, 6, -4,
            8, 7, 9});
        // Evaluate, no constant term!
        RegModels.MulLinEval(new double[] {1.0, 0.5, -2.0},X,YHat, false);
        // YHat = (-9.5, 12, -6.5)
    }
}

See Also: RegModels.MulLinFit

Overload 2: Double MulLinEval(Double[] B, TVec X, Boolean Constant)

Evaluates multiple linear function.

#	Name	Type	Description
1	B	Double[]
2	X	TVec	source TVec
3	Constant	Boolean

Returns: Double - b[0] + b[1]*x[0] + b[2]*x[1] + ... for given value X and parameters in B array.