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PLS mode A : two estimation algo: NIPALS & SVD

- in dataset Add linnerud dataset
- in pls.py fix some bug in NIPALS algo
- in pls.py add loading estimation using SVD
- in pls.py add PLS_SVD
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commit 09c53ae9e512e9a653f3acce037849ac99103d89 1 parent c160074
@duchesnay duchesnay authored
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21 scikits/learn/datasets/data/linnerud_exercise.csv
@@ -0,0 +1,21 @@
+"Weight","Waist","Pulse"
+191,36,50
+189,37,52
+193,38,58
+162,35,62
+189,35,46
+182,36,56
+211,38,56
+167,34,60
+176,31,74
+154,33,56
+169,34,50
+166,33,52
+154,34,64
+247,46,50
+193,36,46
+202,37,62
+176,37,54
+157,32,52
+156,33,54
+138,33,68
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21 scikits/learn/datasets/data/linnerud_physiological.csv
@@ -0,0 +1,21 @@
+"Chins","Situps","Jumps"
+5,162,60
+2,110,60
+12,101,101
+12,105,37
+13,155,58
+4,101,42
+8,101,38
+6,125,40
+15,200,40
+17,251,250
+17,120,38
+13,210,115
+14,215,105
+1,50,50
+6,70,31
+12,210,120
+4,60,25
+11,230,80
+15,225,73
+2,110,43
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24 scikits/learn/datasets/descr/linnerud.rst
@@ -0,0 +1,24 @@
+The Linnerud dataset constains two small dataset:
+
+- *exercise* A list containing the following components: exercise data with
+ 20 observations on 3 exercise variables: Weight, Waist and Pulse
+
+- *physiological* data frame with 20 observations on 3 physiological variables:
+ Chins, Situps and Jumps
+
+Source
+------
+
+Tenenhaus, M. (1998), Table 1, page 15.
+
+References
+----------
+
+Tenenhaus, M. (1998). La r'egression PLS: th'eorie et pratique. Paris: Editions Technic.
+
+Number of Instances: 20
+
+Number of Attributes: 3
+
+Missing Attribute Values: None
+
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