income

Customer Income Data from a marketing survey.

datasets

Kernel-based machine learning methods for classification, regression, 
             clustering, novelty detection, quantile regression and dimensionality reduction. 
             Among other methods kernlab includes Support Vector Machines, 
             Spectral Clustering, Kernel PCA and a QP solver.

Alexandros Karatzoglou

kernlab

Kernel Methods Lab

income function

A data frame with 14 categorical variables (8993 observations). Explanation of the variable names: <tabular>rllll</tabular>{
 	1 	<code>INCOME</code> 	annual income of household 				(Personal income if single) 	ordinal	2 	<code>SEX</code> 	sex 	nominal	3 	<code>MARITAL.STATUS</code> 	marital status 	nominal	4 	<code>AGE</code> 	age 	ordinal	5 	<code>EDUCATION</code> 	educational grade 	ordinal	6 	<code>OCCUPATION</code> 	type of work 	nominal 	7 	<code>AREA</code> 	how long the interviewed person has lived				in the San Francisco/Oakland/San Jose area 	ordinal	8 	<code>DUAL.INCOMES</code> 	dual incomes (if married) 	nominal	9 	<code>HOUSEHOLD.SIZE</code> 	persons living in the
 household 	ordinal	10 	<code>UNDER18</code> 	persons in household under 18 	ordinal	11 	<code>HOUSEHOLDER</code> 	householder status 	nominal	12 	<code>HOME.TYPE</code> 	type of home 	nominal	13 	<code>ETHNIC.CLASS</code> 	ethnic classification 	nominal	14 	<code>LANGUAGE</code> 	language most often spoken at
 home 	nominal}

format

Impact Resources, Inc., Columbus, OH (1987).

income: Income Data

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