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Two-phase linear regression model 1.0

  Date Added: July 06, 2013  |  Visits: 269

Two-phase linear regression model

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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

License: Shareware Size: 10 KB
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