How can I train set of large data using svm regression

I used a neural network in making a regression for a set of data where input is a matrex of size(2880,907) and the output is a matrix of size (2880,1) now I want to modify the below code for making a regression for the previous data using support vector machine , thanks in advance.

load ('input')
load ('output')
x=[input]';
y=[output]';
net=fitnet(10);
net.trainParam.epochs = 2000;
net=train(net,x,y)