diabetesI

<p>The data consists of 442 patients in which the response of interest is a
quantitative measure of disease progression.  The data includes 10
baseline measurements for each patient, in addition to 45 interactions
and 9 quadratic terms, for a total of 64 variables for each patient.
The outcome is <code>Y</code>.</p>

datasets

Spike and slab for prediction and variable selection in linear regression models. Uses a generalized elastic net for variable selection.

Udaya Kogalur

diabetesI: Diabetes Data with Interactions

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