newadult

This data set is adapted from
the Adult data from the UCI Machine Learning Repository,
which was in turn adapted from Census data on adult incomes and other 
demographic variables. The UCI data is used here with permission 
from Ronny Kohavi.
The variables are:<ul>
<li><code>gt50</code>, which converts the original <code>&gt;50K</code> variable
 to an indicator variable; 1 for income greater than $50,000, else 0</li>
<li><code>edu</code>, which converts a set of education levels to
 approximate number of years of schooling</li>
<li><code>age</code></li>
<li><code>gender</code>, 1 for male, 0 for female</li>
<li><code>mar</code>, 1 for married, 0 for single</li>
</ul>

Tools for linear, nonlinear and nonparametric regression
and classification.  Novel graphical methods for assessment
of parametric models using nonparametric methods. One
vs. All and All vs. All multiclass classification, optional
class probabilities adjustment.  Nonparametric regression
(k-NN) for general dimension, local-linear option.  Nonlinear
regression with Eickert-White method for dealing with
heteroscedasticity.  Utilities for converting time series
to rectangular form.  Utilities for conversion between
factors and indicator variables.  Some code related to
"Statistical Regression and Classification: from Linear
Models to Machine Learning", N. Matloff, 2017, CRC,
ISBN 9781498710916.

newadult: UCI adult income data set, adapted

Description

Arguments