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Dear Freesurfer developpers,

I posted a while back asking how to control for scanner site in a multi-centre study. I think I now understand the formatting to do so for a DOSS model, but was wondering how this would look for a DODS model. There are 6 scanner sites and I also want to control for age and sex. However, there are no females in 3 of the sites. I tried to create the contrast for this but got the following error:
ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08
--------------------------------
Possible problem with experimental design:
Check for duplicate entries and/or lack of range of
continuous variables within a class.
If you seek help with this problem, make sure to send:
  1. Your command line:
mri_glmfit.bin --y rh.5.lgi.centre.mgh --fsgd FSGD_centre.txt dods --glmdir rh.5.lgi.centre.glmdir --surf fsaverage rh --C H-NH_centre.dods.txt
  2. The FSGD file (if using one)
  3. And the design matrix above
Attempting to diagnose further
SumSq: Min=1.000000 (col 4), Max=183.117447 (col 31)
 The scale is much different between columns 4 and 31, you may want to
normalize by subtracting the mean and dividing by the standard deviation.

My contrast was 1 -1 -1 -1 -1 -1 -1 -1 -1 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
and FSGD attached (does not include full list of subjects).

Thanks very much,
Colleen
GroupDescriptorFile 1
Class NH_Male_MAN
Class NH_Female_MAN
Class NH_Male_EDB
Class NH_Male_CAM
Class NH_Female_CAM
Class NH_Male_UCL
Class NH_Male_KCL
Class NH_Female_KCL
Class NH_Male_BIR
Class H_Male_MAN
Class H_Female_MAN
Class H_Male_EDB
Class H_Female_EDB
Class H_Male_CAM
Class H_Female_CAM
Class H_Male_UCL
Class H_Female_UCL
Class H_Male_KCL
Class H_Female_KCL
Class H_Male_BIR
Class H_Female_BIR
Variables                       Age
Input   H_BMN001-002    H_Male_MAN      32
Input   H_BMN001-003    H_Male_MAN      19
Input   H_BMN001-006    H_Male_MAN      26
Input   H_BMN001-015    H_Male_MAN      30
Input   H_BMN001-040    H_Female_MAN    28
Input   H_BMN001-041    H_Female_MAN    20
Input   H_BMN001-042    H_Male_MAN      25
Input   H_BMN001-043    H_Male_MAN      20
Input   H_BMN001-044    H_Male_MAN      25
Input   H_BMN001-046    H_Male_MAN      21
Input   H_BMN001-055    H_Male_MAN      26
Input   H_BMN001-056    H_Male_MAN      22
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