heart

Data from a subset of the Coronary Risk-Factor Study
  baseline survey, carried out in rural South Africa.  The variables are
  as follows:
  <ul><li>sbp: Systolic blood pressure</li><li>tobacco: Cumulative tobacco consumption, in kg</li><li>ldl: Low-density lipoprotein cholesterol</li><li>adiposity: Adipose tissue concentration</li><li>famhist: Family history of heart disease (1=Present, 0=Absent)</li><li>typea: Score on test designed to measure type-A behavior</li><li>obesity: Obesity</li><li>alcohol: Current consumption of alcohol</li><li>age: Age of subject</li><li>chd: Coronary heart disease at baseline; 1=Yes 0=No</li></ul>

datasets

Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty.

Patrick Breheny

ncvreg

Regularization Paths for SCAD and MCP Penalized Regression
        Models

heart function

A data frame with 462 observations on 10 variables

format

<url>http://statweb.stanford.edu/~tibs/ElemStatLearn/</url>

heart: Risk factors associated with heart disease

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References