How to fit 5 dimensional independent variables with respect to 2 dimensional dependent variables

Hi, I am trying to fit a polynomial regression on my problem,

X = [x1,x2,x3,x4,x5] have 300 samples

Y = [y1,...,y32], 300 samples.

I can fit x1 and y1 by polyfit(x1,y1,degree of polynomial);

but i want to consider the whole set of input and output.

is there any toolbox or example code that can work for my problem.

[A. Sawas]

Explore the neural network fitting toolbox (nftool)

[gullnaz shahzadi]

if i want to fit the data as, x = [x1,x2,x3,x4,x5] and y = y1, i tried to use polyfitn, but that is not in my Matlab2016, how can i use this toolbox for my problem?

x and y are 300 samples.(vectors).

Answer 1

[Matt J]

polyfitn is downloadable here

https://www.mathworks.com/matlabcentral/fileexchange/34765-polyfitn