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Here is a question akin to the 'repeated time series question. George Leckie answered it, but gave no hints on how to proceed.

Modelling time series data on yields

Originally I had imagined I would be able to model our yield gaps data with MLWin. However, the time series macros included with ...

Thanks Chris for a good answer. This is all I need to know (I hope)!

Göran

Thanks for the clarifying question, Chris!

I wanted to weight my data and make predictions from a multiple response model, but then I encountered this message in the help text of the weighting menu: " Note that weights cannot be used with multivariate models ." So I tried to locate the parameter ...

I am developing a two-level multiple response model with three responses and a set of random and effects for each response. I wanted to make predictions for individual cases, but I am not able to unpack the information in c1090 etc. and the corresponding help page (Reserved groups, columns and boxes ...

Thanks Chris,
Your answer is much appreciated! I hope that its being published in this forum would help others to avoid some of the confusion and extra work it implied for me.

Göran Djurfeldt (socgdj)

Dear Chris,
I have to retract: I cannot illustrate the importance of correct ordering of variables in the data matrix. When I went back to my old files I discovered that my memory was not correct :?. The problem I had in getting higher level variables to be correctly treated as such (i.e. to get ...

If anyone happensto be interested in these unanswered posts, I can inform you that I found the solution to be not only adequate sorting of the file but also putting the key variables in correct order and in the first columns of the data matrix. While this should not be necessary in all applications ...

Higher level variables not correctly treated in multiple response module of MLWin

I need help with the multiple response module in MLWin, which I can’t get to correctly specify higher-level variables, erroneously treating them as first-level ones.
1) My data is essentially three-level drawing on ...

I am in exactly the same situation as Lena. Would appreciate some hints on how to solve it!

Göran