[ENH] run subject level GLM with no condition

[Remi-Gau]

This can be used to denoise data to regress out confounds and keep the denoised data in the residuals.

• make it possible to run the GLM with no condition
• allow to keep residuals even when no GLM QA is requested
• regenerate 4D time series from residuals.

@CerenB This may be of interest for you

If we want to go more fancy: https://github.com/cvnlab/GLMdenoise

[codecov]

Codecov Report

Merging #520 (dbbbfda) into dev (39bb165) will increase coverage by 0.05%.
The diff coverage is 76.47%.

@@            Coverage Diff             @@
##              dev     #520      +/-   ##
==========================================
+ Coverage   71.79%   71.84%   +0.05%     
==========================================
  Files         193      193              
  Lines        4130     4142      +12     
==========================================
+ Hits         2965     2976      +11     
- Misses       1165     1166       +1     

Flag	Coverage Δ
unittests	71.84% <76.47%> (+0.05%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
src/workflows/stats/bidsFFX.m	75.00% <0.00%> (-1.28%)	⬇️
src/IO/onsetsMatToTsv.m	94.73% <50.00%> (-5.27%)	⬇️
src/subject_level/convertOnsetTsvToMat.m	98.21% <80.00%> (-1.79%)	⬇️
src/batches/stats/setBatchEstimateModel.m	100.00% <100.00%> (ø)
src/bids_model/getVariablesToConvolve.m	90.90% <100.00%> (+20.90%)	⬆️
src/defaults/checkOptions.m	90.69% <100.00%> (+0.10%)	⬆️
src/subject_level/getEventsData.m	94.73% <100.00%> (+0.61%)	⬆️

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 39bb165...dbbbfda. Read the comment docs.