R计算具有奇异性的lm模型的鲁棒标准误差(vcovHC)。

In R, how can I calculate robust standard errors using vcovHC() when some coefficients are dropped due to singularities? The standard lm function seems to do fine calculating normal standard errors for all coefficients that are actually estimated, but vcovHC() throws an error: "Error in bread. %*% meat. : non-conformable arguments".In R, how can I calculate robust standard error