EViews.com

Hello,

You didn't mention which version of EViews you have, but try using the string object directly with setcollabels, i.e., mat1.setcollabels {str_cc}.

Hello, Let me address your questions in reverse order. First, regarding the missing confidence intervals when you select the "None" option under "Response Standard Errors". The confidence interval presentation make use of the standard errors, so if you choose to omit the standard...

I'm not aware of any way to sort an alpha series without affecting the rest of its page. I believe you'll need to copy the data to a new page, sort it there, and then copy it back. For example: %originalPage = @pagename pagecopy(page=tmp) alpha sort alpha copy alpha {%originalPage}\alpha pagedelete ...

Hello, The delete command removes entire objects, not individual observations. In addition, the length of an alpha series is dependent on the workfile page's observations, so you cannot "shorten" the alpha series without removing observations from the workfile page. If that's what you want...

If you merely want to remove the extra space in the final string, you could use the following quick-and-dirty workaround:

It's not efficient, but it is concise.

Hello, Yes, you can pass an svector to a subroutine. That's actually what I was suggesting you do after making the subroutine local. Here's your original code with the necessary modifications: !sv = 1 svector(4) sofar_str subroutine local combinationNR(string %sofar, string %rest, scalar !n, scalar ...

Hello, There are a pair of issues primarily responsible for the difficulties you're experiencing. First, inside the for loop, your use of @wmid() assumes that variable !i is an element index, but in the loop's condition !i will iterate through all of %rest's character indices. For example, in the in...

The current EViews patch (2016-10-17) has corrected this issue.

Under the “from residual correlation” option the initial parameter values are .1, but the parameters undergo two stages of optimization. The second stage is the usual optimization (seeking A * Sigma * A’ = B * B’) that occurs regardless of initial value choice. However, in the first stage Sigma (the...