lsq_mb: Least square with mass balance penalty
In ntthung/mbr: Mass Balance Reconstruction

Least square with mass balance penalty

1	lsq_mb(hat, obs, lambda, mus, sigmas, log.seasons, log.ann, N, sInd)

`hat`	A vector of estimated flow in the transformed space.
`obs`	A vector of observed flow in the transformed space.
`lambda`	Penalty weight.
`mus`	A vector of means, one for each target.
`sigmas`	A vector of the standard deviations, one for each target.
`log.seasons`	A vector containing the indices of the seasons that are log-transformed.
`log.ann`	TRUE if the annual reconstruction is log-transformed.
`N`	The number of targets (number of seasons plus one for the annual reconstruction).
`sInd`	Indices of the seasons, i.e, 1...N-1