Parent Command
>> OPTION
Subcommand

Description
This command selects leastsquares optimization, i.e., the objective function
to be minimized is the sum of the squared weighted residuals.
Minimizing the squared weighted residuals leads to a maximumlikelihood estimate if the errors are normally distributed with zero mean and covariance matrix C_{zz}:
Leastsquares estimation is the default. If outliers are more prominent than
described by the tail of the normal distribution, one may want to use one of
the robust estimators to reduce the weight of outliers or even eliminate them
(see commands
Example
> COMPUTATION
>> OPTION
>>> use LEASTSQUARES
<<<
<<
See Also