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pprz_polyfit_float.c File Reference

Polynomial regression. More...

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void pprz_polyfit_float (float *x, float *y, int n, int p, float *c)
 Polynomial regression. More...

Detailed Description

Polynomial regression.

Definition in file pprz_polyfit_float.c.

Function Documentation

◆ pprz_polyfit_float()

void pprz_polyfit_float ( float *  x,
float *  y,
int  n,
int  p,
float *  c 

Polynomial regression.

Polynomial regression is a form of linear regression in which the relationship between the independent variable x and the dependent variable y is modelled as an nth order polynomial.

Considering the regression model:

\[ y_i = c_0 + c_1 x_i + ... + c_p x_i^p + \epsilon_i (i = 1 ... n) \]

in matrix form

\[ y = X.c + \epsilon \]


\[ X_{ij} = x_i^j (i = 1 ... n; j = 1 ... p) \]

The vector of estimated polynomial regression coefficients using ordinary least squares estimation is

\[ c = (X' X)^{-1} X' y \]

[in]xpointer to the input array of independent variable X [n]
[in]ypointer to the input array of dependent variable Y [n]
[in]nnumber of input measurments
[in]pdegree of the output polynomial
[out]cpointer to the output array of polynomial coefficients [p+1]

Definition at line 63 of file pprz_polyfit_float.c.

References c(), float_mat_zero(), float_vect_zero(), MAKE_MATRIX_PTR, p, pprz_svd_float(), pprz_svd_solve_float(), and mesonh.mesonh_atmosphere::T.

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