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...an correct this problem? I tried using a correlation matrix instead of raw moments, but still got the same error. I also fixed parameters v1,v2,v3,a1 at 1; then it gave me the error that the system is exatly singular. To answer the points that you raised: 1. x1-x6 are not causes; they are just indicatiors. Does that change my model? 2. Is the size of the dataset going to be a real limitation? How can I take care of that? Would appreciate your reply, Thanks Sunil ----------------------------------- Dear Sunil, There are 7*8/2 = 28 raw moments among the 7 observed variables. Of these, 6*7/2...

...The model is underidentified regardless of the input matrix. My point was that if you're using raw moments (as opposed to covariances or correlations) you should have a constant term in each equation. > To answer the points that you raised: > > 1. x1-x6 are not causes; they are just indicatiors. Does that change > my model? > Yes. The arrows should go the other way. > 2. Is the size of the dataset going to be a real limitation? > How can I take care of that? > . . . > ----------------------------------- > Dear Sunil, > > There are 7*8/2 = 28 raw moments...