swap(varcov, invars, rparm, nreps, ana.obj, ...)make.varcovana.obj$reg.names telling which
variables to start in the model. The first of these is immediately
removed, so it is merely a placeholder. The number of genes in the
model is therefore k <nrow(varcov$var.x) elements;
the 'ridge' parameters for the independent variables - larger values
imply more shrinkage or a more concentrated prior for the regresion
coefficients.k samples each) to perform.analysis.object --- see make.analysis.objlocs), prior for locus (locs.prior),
or method specified by ana.obj. Also, the default prior for
model (combo.prior when <