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Hi all,

I have reviewed the list serve and have not found a simple solution the following error message in SPM (below). I am running a flexible factorial design with one group of subjects. When I try run the estimate on the SPM file I get this error message that my EIG contains NANs. I have isolated this error to one participant (n=16). When I remove this individual, I do not get this error message. However, all individuals were preprocessed with the same pipeline. I would ideally like to keep the data for this individual. Is there any way to correct for this error and remove the NAN values manually or to fix the matrix to be scaled?

Warning: Matrix is close to singular or badly scaled. Results may be inaccurate.
RCOND = -1.000000e+000.
> In spm_inv at 30
  In spm_reml at 126
  In spm_spm at 868
  In spm_getSPM at 235
  In spm_results_ui at 263
Warning: Matrix is close to singular or badly scaled. Results may be inaccurate.
RCOND = -1.000000e+000.
> In spm_inv at 30
  In spm_reml at 129
  In spm_spm at 868
  In spm_getSPM at 235
  In spm_results_ui at 263
Warning: Matrix is singular, close to singular or badly scaled. Results may be
inaccurate. RCOND = NaN.
> In spm_expm at 51
  In spm_dx at 83
  In spm_reml at 171
  In spm_spm at 868
  In spm_getSPM at 235
  In spm_results_ui at 263
  ReML Iteration 32                     :        ...NaN [+12.00]
Error using eig
Input to EIG must not contain NaN or Inf.

Error in spm_reml (line 212)
    if min(eig(V)) < 0

Error in spm_spm (line 868)
        [V,h] = spm_reml(Cy,xX.X,xVi.Vi);

Error in spm_getSPM (line 235)
        SPM = spm_spm(SPM);

Error in spm_results_ui (line 263)
        [SPM,xSPM] = spm_getSPM;