I like max-power, it may be long, but I really like that it's explicit.

And I just started thinking that 'pca' would in turn remind me more of something like Woolrich 2011 (MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization), who by the way use exactly the maximum power term when discussing orientation:

    (...) defined as the projection of H that beamforms the maximum power, as in Sekihara et al.
    (2004)

So I guess max-power is really good.

Btw. I thought maybe making the `pick_ori` name even more explicit by changing it to `source_ori` would be nice? It then doesn't match the `pick_normal`, but in turn matches `source_ori` in the forward operator. And if you're thinking of changing pick_normal in MNE, than maybe it would make sense to change it both there and in LCMV to `source_ori` ? And then `pick_ori = None` would nicely and explicitly turn into `source_ori = 'free'` ?