extracts independent components (signals, loadings) and proportions (scores) using the icajade function
[ic,t]=icascores(x_div,ncomp,(options));
a matrix (n x q) or a Div structure
number of independent components
a structure containing the following fields:
options.center: 1 to center, 0 not centred (by default)
options.method: choice among: 'tall','wide','kernel','comdim' or 'normal' (by default)
options.partitions: an integer; for methods 'tall','wide' and 'comdim' only (by default=1)
a Div structure containing the independent components
ic.d is of dimensions (q x ncomp)
a Div structure containing the scores of the observations according to the independent components
t.d is of dimensions (n x ncomp)