How to do regression between three inputs (x1, x2 and x3) and one outputs (y) using Curve Fitting?

How to do regression between three inputs (x1, x2 and x3) and one outputs (y) using Curve Fitting? The Cuve fittinng show only regression between x1, x2 inputs and z outputs

Answer 1

[Star Strider]

I don’t have the Curve Fitting Toolbox (Statistics and Optimization instead), so I can’t address the Curve Fitting Toolbox specifically. However it is straightforward to do this with the other functions, by combining the three vectors into one matrix, then addressing them appropriately in your objective function:

x123 = [x1(:),  x2(:),  x3(:)];
y    = [column vector with the same row size as ‘x123’];
f    = @(b,x) b(1).*x123(:,1).^b(2) + b(3).*x123(:,2) + x123(:,3);    % Example Objective Function
B0   = [choose vector of initial parameter estimates];
B = nlinfit(x123,y,f,B0);               % Estimate Parameters

You will have to experiment with the Curve Fitting Toolbox, but since it can use custom objective functions, something like this should work.

Answer 2

[Radek]

Many thanks

[Star Strider]

My pleasure.

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