polyreg - Data Points Nth Order Polynomial Regression

This function fits a polynomial of order n to a given data points (x,y) using regression techniques
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Actualizado 1 Jan 2019

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% polyreg
% This function fits a polynomial of order n to a given data points (x,y)
% using regression techniques
% ----------------------------------------------
% inputs
% x x points
% y f(x)
% n polynomial order; 1 for linear
% ----------------------------------------------
% output
% sol.constants constants that need to be found
% sol.fn curve fittin-g function
% sol.syx the standard erro of the estimate
% sol.sr the best fit criterion
% sol.r2 the coefficient of determination; 1 is the best value
% sol.std standard deviation
% ----------------------------------------------
% Example
% x=[1,4,2,4];
% y=[.9 3 10 15];
% n=1;
% sol = polyreg(x,y,n);
% ----------------------------------------------
%
% All copyrights goes to Mohammad Al-Fetyani
% University of Jordan

Citar como

Mohammad Al-Fetyani (2024). polyreg - Data Points Nth Order Polynomial Regression (https://www.mathworks.com/matlabcentral/fileexchange/69862-polyreg-data-points-nth-order-polynomial-regression), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2018b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
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Más información sobre Linear and Nonlinear Regression en Help Center y MATLAB Answers.
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Versión Publicado Notas de la versión
1.0.0