Applying summary
on an object of class systemfit
returns a list of class summary.systemfit
.
Applying summary
on an object of class
systemfit.equation
returns a list of class
summary.systemfit.equation
.
An object of class summary.systemfit
contains all results that belong to the whole system.
This list contains one special object: eq
.
This is a list and contains objects of class
summary.systemfit.equation
.
These objects contain the results that belong to each of the eatimated equations.
The objects of classes summary.systemfit
and
summary.systemfit.equation
have the following components
(elements that are marked with a \(*\) are available only in objects of
class summary.systemfit
;
elements that are marked with a \(+\) are available only in objects of
class summary.systemfit.equation
):
- method
estimation method.
- residuals
residuals.
- coefficients
a matrix with columns for the estimated coefficients,
their standard errors, t-statistic and corresponding (two-sided) p-values.
- df
degrees of freedom, a 2-vector, where the first element is the number
of coefficients and the second element is the number of observations minus
the number of coefficients.
- coefCov
estimated covariance matrix of the coefficients.
- call*
the matched call of systemfit
.
- ols.r.squared*
OLS \(R^2\) value of the entire system.
- mcelroy.r.squared*
McElroy's \(R^2\) value for the system.
- iter*
number of iteration steps (only if the estimation is iterated).
- control*
list of control parameters used for the estimation.
- residCov*
estimated residual covariance matrix.
- residCovEst*
residual covariance matrix used for estimation (only SUR and 3SLS).
- residCor*
correlation matrix of the residuals.
- detResidCov*
determinant of residCov
.
- eqnLabel+
equation label.
- eqnNo+
equation number.
- terms+
the 'terms' object used for the respective equation.
- r.squared+
\(R^2\) value of the respective equation.
- adj.r.squared+
adjusted \(R^2\) value of the respective equation.
- sigma+
estimated standard error of the residuals
of the respective equation.
- ssr+
sum of squared residuals of the respective equation.
- printResidCov*
argument residCov
.
- printEquations*
argument equations
.