Two-phase linear regression model 1.0

INPUTS: x - vector row with 'x' values y - vector row with 'y' values r - expected 'x'-coordinate of break point if r is empty it is calculated during the optimisation p - if p is equal to 1 the fit is plotted OUTPUT: th - estimated paremeters of the regression lines y_1 = th(1) + th(2) * x y_2 = th(3) + th(4) * x r - the estimated break point SSR - Sum of Squares of the Residuals SSM - Sum of Squares due to the Model R^2 can be calculated as RRM/(SSM + SSR) res - vector of residuals

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Estimated,  Lines,  Model,  Output,  Paremeters,  Plotted,  Regression,  Residuals,  Rrmssm,  Squares
Users rating:	0/10