compute the mean and stddev of your covariate, subtract the mean from each covariate, and then divide the result by stddev.

On 9/28/16 3:47 PM, kinson li wrote:
Hi Greve

Thanks for your reply, can I have more detail about how to solve my problem. By the way, I may not think it's the problem about covariates.

Thank you.
Jin

2016-09-28 15:29 GMT-04:00 Douglas Greve <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>>:

    Try normalizing your covariates (ie, subtract the mean and divide
    by the stddev).


    On 9/28/16 3:07 PM, kinson li wrote:
    Hi there,

    Anyone can help me out?  Thank you.

    2016-09-28 13:46 GMT-04:00 kinson li <kinson...@gmail.com
    <mailto:kinson...@gmail.com>>:

        /Hello,/

        /I would like to conduct an analysis using mri_glmfit but I'm
        getting this error:/

        /ERROR: matrix is ill-conditioned or badly scaled, condno =
        1e+08/

        /I am appreciated you can help me solve this problem. /

        /My command was:/

        mri_glmfit --y age9vs8ml01.mgh --fsgd new.fsgd dods --C
        age9vs8mlmatrix.mtx --surf fsaverage lh --cortex --glmdir
        glmdir.age9vs8ml


        Design matrix ------------------

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         1.000   0.000   8.000 0.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

         0.000   1.000   0.000 9.000;

        --------------------------------

        ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08

        --------------------------------


        Thanks

        Jincheng.





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