📄 y_e_linreglr.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_est0:Regression models}
> {help y_e_linreg:Linear regression & related}
{bind:> {bf:Linear regression}}
{p_end}
{hline}
{title:Help and category listings}
{p 4 8 4}
{bf:{help regress:Linear regression command}}{break}
linear regression with options for clustering and robust standard
errors, but also click below for more
{p 4 8 4}
{bf:{help y_e_regress:Linear regression}}{break}
linear regression, robust standard errors, ...
{p 4 8 4}
{bf:{help areg:Linear regression with a large dummy-variable set}}{break}
absorbs dummy variables, but also see {help xtreg:xtreg, fe}
{p 4 8 4}
{bf:{help cnsreg:Constrained linear regression}}{break}
regression with linear constraints
{p 4 8 4}
{bf:{help eivreg:Errors-in-variables regression}}{break}
corrects for errors in variables when reliability is known
{p 4 8 4}
{bf:{help rreg:Robust regression}}{break}
performs initial screening based on Cooks distance and then
performs Huber iterations followed by biweight iterations
{p 4 8 4}
{bf:{help vwls:Variance-weighted least squares}}{break}
the conditional variance is estimated prior to the estimation
and is treated as if it were the true variance
INCLUDE help ypostnote
{hline}
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