# polyfit

Version:

Computes a polynomial of a specified degree that fits the input data using the least-squares method.

## Syntax

[p, s] = polyfit(x, y, n)
[p, s, mu] = polyfit(x, y, n)

## x

X-coordinates of the data you want to fit. x is a vector.

## y

Y-coordinates of the data you want to fit. y is a vector of the same length as x.

## n

Degree of the polynomial you want to fit against x and y. n must be less than the length of x. n is a positive integer.

## p

Coefficients in descending order of the polynomial fit. p is a vector.

## s

Cholesky factor of the Vandermonde matrix. s is a structure with the following fields.

Name Description
R

Cholesky factor of the Vandermonde matrix.

df

Degree of freedom.

normr

Norm of the residue.

## mu

Mean and standard deviation of x. MathScript uses these values to normalize x to improve the fit. mu is a vector. The first element of mu is the mean, and the second element of mu is the standard deviation.

[P, S] = polyfit(1:10, rand(1, 10), 5)
[P, S, MU] = polyfit(1:10, [3, 3, 3, 4, 5, 6, 10, 12, 14, 15], 5)

Where This Node Can Run:

Desktop OS: Windows

FPGA: This product does not support FPGA devices