----------------
help for wls0
----------------

Weighted least squares regression
---------------------------------

 wls0 dvar ivars [if] [in], wvar(varlist) type(wlstype) 
     [ noconst robust hc2 hc3 graph ]

Description
-----------

wls0 computes various weighted least squares regressions.  
     The command generates two variables _wls_wgt and 
     _wls_res, the wls weights and residuals respectively.

Options
-------

wvar(varlist) variables in the weightling equation.

type(wlstype) the wls type.  The choices are: 
    abse  - absolute value of residual
    absen - absolute value of residual, ala Neter et al
    e2    - residual squared
    loge2 - log residual squared
    xb2   - fitted value squared

noconst do not include a constant in the weighting equation.

robust using robust standard errors in the final regression.

graph plots the wls residuals vs fitted.

Examples
--------

 . wls0 exp age ownrent income incomesq, wvar(income incomesq) type(abse)
 . wls0 exp age ownrent income incomesq, wvar(income incomesq) type(abse) noco
> nst


Author
------

      Philip B. Ender
      UCLA Department of Education
      UCLA Academic Technology Services
      enderatucla.edu