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wls0.hlp.htm

help for wls0
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Weighted least squares regression
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 wls0 dvar ivars [if] [in], wvar(varlist) type(wlstype) 
     [ noconst robust hc2 hc3 graph ]

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


Options
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wvar(varlist) variables in the weightling equation.

type(wlstype) the wls type.  The choices are: 
    abse  - absolute value of residual
    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
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 . wls0 exp age ownrent income incomesq, wvar(income incomesq) type(abse)
 . wls0 exp age ownrent income incomesq, wvar(income incomesq) type(abse) noconst


Author
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      Philip B. Ender
      UCLA Academic Technology Services
      ender@ucla.edu