public RAResultNonLinear(RAProcessorNonLinear initProcessorWithData) : base(initProcessorWithData)
{
RAProcessor = initProcessorWithData;
Coefficients = RAProcessor.GetTempResult().Coefficients;
Model = (x, y) => RAProcessor.GetTempResult().Function(x, y);
}
/// <summary>
/// Set model and learning adjustment for nonlinear regression analysis from already existing RA processor
/// </summary>
public void SetModel(RAProcessorNonLinear prototype)
{
LeastSquares = prototype.LeastSquares;
}
public RAResultNonLinear(RAData initData) : base(initData)
{
RAProcessor = new RAProcessorNonLinear(initData);
}
