GLM tstats, hmrS_GLM (#59)

* Update SubjClass.m

dc, Aaux, tIncAuto and rcmap are also collected for each run for the subject level GLM

* Update hmrR_GLM.m

Adding tstats per condition and per contrast for the iterative restricted maximum likelihood method from Barker, BOE, 2013.

* Create hmrS_GLM.m

Adding hmrS_GLM which gets all run level data from a single subject and concatenates them. The new design matrix has HRF regressors common to all runs but have separate regressors for the rest of the model (e.g. drift, short separation).