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scikit-learn / datasets / descr / linnerud.rst
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.. _linnerrud_dataset:

Linnerrud dataset
-----------------

**Data Set Characteristics:**

    :Number of Instances: 20
    :Number of Attributes: 3
    :Missing Attribute Values: None

The Linnerud dataset is a multi-output regression dataset. It consists of three
excercise (data) and three physiological (target) variables collected from
twenty middle-aged men in a fitness club:

- *physiological* - CSV containing 20 observations on 3 physiological variables:
   Weight, Waist and Pulse.
- *exercise* - CSV containing 20 observations on 3 exercise variables:
   Chins, Situps and Jumps.

.. topic:: References

  * Tenenhaus, M. (1998). La regression PLS: theorie et pratique. Paris:
    Editions Technic.