print.ols

digits

set to <code>TRUE</code> to print the correlation matrix of
  parameter estimates

long

other parameters to pass to <code>print</code> or <code>format</code>

formatted printing of an object of class <code>ols</code> using methods taken from
<code>print.lm</code> and <code>summary.lm</code>. Prints R-squared, adjusted R-squared,
parameter estimates,
standard errors, and t-statistics (Z statistics if penalized estimation was used).
For penalized
estimation, prints the maximum penalized likelihood estimate of the residual
standard deviation (<code>Sigma</code>) instead of the usual root mean squared error.

print

Regression modeling, testing, estimation, validation,
        graphics, prediction, and typesetting by storing enhanced model
        design attributes in the fit.  rms is a collection of about 180
        functions that assist and streamline modeling, especially for
        biostatistical and epidemiologic applications.  It also
        contains new functions for binary and ordinal logistic
        regression models and the Buckley-James multiple regression
        model for right-censored responses, and implements penalized
        maximum likelihood estimation for logistic and ordinary linear
        models.  rms works with almost any regression model, but it was
        especially written to work with binary or ordinal logistic
        regression, Cox regression, accelerated failure time models,
        ordinary linear models, the Buckley-James model, generalized
        least squares for serially or spatially correlated
        observations, generalized linear models, and quantile
        regression.

print.ols: Print ols

Description

Usage

Arguments

See Also