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Hello,

I am trying to write a program to scan through a set of data, performing a regression between various points, dependings on another input variable that I can control.

This proram works really well some of the time. Other times it gives me a near singular matrix error. I can only assume this is because occationally it meets a set of data that acts like a near singular matrix, rather then it being an error in the program?

I cannot see how to solve this. There is obviously no problem with the program, as it will run perfectly sometimes. Other times it will NSM error, just because I have changed the data it is operating on.

Is there any way I can get it to "skip" the data where a NSM error is found, and continue on regardless? The amount of results I am generating means its not a problem if I loose 3 or 4.

Thanks

When you run the program, set the maximum error count to something larger than 1

Hi,

Thanks for the reply. I can see the @errorcount function, but how do I initialise the equations objects error count in the first place?

E.g. EQ1.ls variable1 c variable2 variable 3

What do I add to the above to do that?

Thanks very much, very appreciated!

I just figured it out. Its in the box that pops up after you click 'run'

Thanks again.

You can try to check whether the matrix is singular or not the following way:
matrix mtemp = eq1.@coefcov
if mtemp(1,1) <> NA then
...
else
...
endif