Error while running MS_Regress_Fit

Dear all,

I very new to Matlab and I'm facing an issue while running MS_regress_fit.

In particular, I need to add an independent variable to one of the equations, but I get the error message:

Error using MS_VAR_Fit
Too many input arguments.

Without independent variables the programme runs. My code is:

 lnavilliq = data.lnavilliq;
milliq1 = data.milliq1;
% Remove NaN
lnavilliq(isnan(lnavilliq))=[];
milliq1(isnan(milliq1))=[];
% Matrix of dependent vars
c = [lnavilliq milliq1];
dep= c; % Defines the dependent variables in system
%indep{1}=lnavilliq;
indep{2}=lnavilliq;
S{2}=[1 1];
nLag=0; % Number of vector autoregressive lags in 2x1 system
k=2; % Number of states/regimes (?)
doIntercept=1; % Add intercept to equations (1= Yes; 0= No) 
advOpt.distrib='Normal'; % The Distribution assumption
advOpt.std_method = 1; % Defining the method for calculation of standard errors. 
advOpt.diagCovMat = 0; % Whether we will estimate by MLE also MS covariances
advOpt.doPlots = 0; % Does not produce automatic plots (you are in charge of that!) 
advOpt.printIter = 0; % When set to 0, does not print iterations to the screeen
[Spec_Out_1]=MS_VAR_Fit(dep,nLag,k,doIntercept,advOpt);

Any help would be much appreciated!

Thanks

Stefano

[dpb]

That isn't really a Matlab Q?; that is an external package and what support there is for it should come from the author and/or community that uses it.

I wasn't aware of it but in a very quick look I didn't see anything in the user interface for such a usage; maybe there's something else in the package for more general/custom models??