How can I do multiple regression (i = 1:15) in a loop?

I got a matrix A (1x15) with each cell containing 524 x 4 of data, and a Y matrix containing 524 x1 data. I was going for :

For i = 1:15
mdl{i} = LinearModel.fit(A{1,i},Y)
end

but it didn't work

Thanks in advance!

[per isakson]

Any error message?

[Simon]

It seems to work but i end up having a 1x15 matrix of mdl, but all cells are empty... it's weird

[Simon]

No error message :/

Answer 1

[the cyclist]

This worked for me:

% Some pretend data
A = cell(1,15);
for i=1:15
    A{i} = rand(524,4);
end
Y = rand(524,1);

% Do the fits
for i = 1:15
    mdl{i} = LinearModel.fit(A{1,i},Y);
end

[Simon]

Yes it worked but i always end up with a 1x15 matrix of answer but empty, it is kind of weird.

[the cyclist]

Strange. I get model results in each cell of mdl, as expected. I am using R2013a on a Mac [OSX 10.8.3].

[Simon]

I'm using R2012a on a PC(x64)but still

[Simon]

I mostly need the r squared, p value t-test and fisher. Is there a way to gather these without having to use mdl?

[the cyclist]

If the code I posted is giving completely empty results, I suggest you file a bug report.

An alternative to using LinearModel.fit is the regress() command.

[Simon]

I might report it eventually but i found out that this particular function generate an object and apparently i'm not supposed to have many objects in a single matrix. I manage to gather the Rsquared using Varname.Rsquared.Adjusted so that only answers pop out in a (1,15) matrix. The only problem i have here is that i don't have the combination variable names anymore and that might cause problem... If i try with 50 variables i won't be able to understand the answer! Thank you!!