print.pcsslm | R Documentation |
Prints a linear model fit through pre-computed summary statistics
## S3 method for class 'pcsslm'
print(
x,
digits = max(3L, getOption("digits") - 3L),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"),
...
)
x |
an object of class |
digits |
the number of significant digits to use when printing. |
symbolic.cor |
logical. If |
signif.stars |
logical. If |
... |
further arguments passed to or from other methods. |
an object of class "pcsslm"
.
An object of class "pcsslm"
is a list containing at least the
following components:
call |
the matched call |
terms |
the |
coefficients |
a |
sigma |
the square root of the estimated variance of the random error. |
df |
degrees of freedom, a 3-vector |
fstatistic |
a 3-vector with the value of the F-statistic with its numerator and denominator degrees of freedom. |
r.squared |
|
adj.r.squared |
the above |
cov.unscaled |
a |
Sum Sq |
a 3-vector with the model's Sum of Squares Regression (SSR), Sum of Squares Error (SSE), and Sum of Squares Total (SST). |
R Core Team and contributors worldwide. Modified by Jack Wolf
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