Polynomial regression: Difference between revisions

=={{header|Julia}}==

The least-squares fit problem for a degree <i>n</i> can be solved with the built-in backslash operator: <lang julia>function polyfit(x, y, n)

A = [ float(x[i])^p for i = 1:length(x), p = 0:n ]

A \ y

end</lang>

Example output:<lang julia>julia> x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

julia> y = [1, 6, 17, 34, 57, 86, 121, 162, 209, 262, 321]

julia> polyfit(x, y, 2)

3-element Array{Float64,1}:

1.0

2.0

3.0

<lang>

(giving the coefficients in increasing order of degree).