Zach - 1 year ago 246
Python Question

# Multiple linear regression in Python

I can't seem to find any python libraries that do multiple regression. The only things I find only do simple regression. I need to regress my dependent variable (y) against several independent variables (x1, x2, x3, etc.).

For example, with this data:

``````print 'y        x1      x2       x3       x4      x5     x6       x7'
for t in texts:
print "{:>7.1f}{:>10.2f}{:>9.2f}{:>9.2f}{:>10.2f}{:>7.2f}{:>7.2f}{:>9.2f}" /
.format(t.y,t.x1,t.x2,t.x3,t.x4,t.x5,t.x6,t.x7)
``````

(output for above:)

``````      y        x1       x2       x3        x4     x5     x6       x7
-6.0     -4.95    -5.87    -0.76     14.73   4.02   0.20     0.45
-5.0     -4.55    -4.52    -0.71     13.74   4.47   0.16     0.50
-10.0    -10.96   -11.64    -0.98     15.49   4.18   0.19     0.53
-5.0     -1.08    -3.36     0.75     24.72   4.96   0.16     0.60
-8.0     -6.52    -7.45    -0.86     16.59   4.29   0.10     0.48
-3.0     -0.81    -2.36    -0.50     22.44   4.81   0.15     0.53
-6.0     -7.01    -7.33    -0.33     13.93   4.32   0.21     0.50
-8.0     -4.46    -7.65    -0.94     11.40   4.43   0.16     0.49
-8.0    -11.54   -10.03    -1.03     18.18   4.28   0.21     0.55
``````

How would I regress these in python, to get the linear regression formula:

Y = a1x1 + a2x2 + a3x3 + a4x4 + a5x5 + a6x6 + +a7x7 + c

``````from sklearn import linear_model
Then `clf.coef_` will have the regression coefficients.
`sklearn.linear_model` also has similar interfaces to do various kinds of regularizations on the regression.