summary.kclass: S3 summary method for 'kclass' objects
In potterzot/rkclass: K-class regressions (Two-Stage Least Squares, LIML, Fuller)

S3 summary method for 'kclass' objects

## S3 method for class 'kclass'
summary(object, vcov. = NULL, df = NULL,
  errors = c("standard", "const", "robust", "bw", "white", "HAC", "CSE", "HC",
  "HC0", "HC1", "HC2", "HC3", "HC4", "HC4m", "HC5"), ...)

`object`	a model object of class 'kclass'
`vcov.`	a function or matrix.
`df`	the degrees of freedom.
`errors`	convenience method for calculating adjusted standard errors. Use `robust` for heterskedastic-robust errors, `bw` for autocorrelation- robust errors, `white` for White's estimator. `bekker` provides Bekker's adjusted standard errors (see Bekker 1994), while CSE provides the corrected standard errors of Hansen, Hausman, and Newey 2004. Other allowed options include any of the `type` options available in `sandwich{vcovHC}`.
`...`	other parameters passed to print function.
`robust`	logical to report robust sandwich estimator standard errors. These are heteroskedastic robust.
`bw`	logical to report XX standard errors. These are autocorrelation robust. Setting both robust and bw to `TRUE` reports standard errors that are both heteroskedastic and autocorrelation robust.