Regression Model

Opus offers an infrastructure for estimation and simulation of a regression model (see Section 7.4.4 for details). Suppose our set of grid cells from the previous section has an attribute ``distance_to_cbd'' that contains information about the distance to the central business district (cbd):

location cost  distance_to_cbd
1        500             5
2        200            10
3        600             5
4       1000             1
5        100            20
6       2000             0
7        300             7
8        400             7
9        800             3

One can add the new attribute to the existing set of locations by:

>>> locations.add_primary_attribute(name="distance_to_cbd",
                                    data=[5,10,5,1,20,0,7,7,3])

The cost of living in this dataset is highly correlated with the distance to cbd and we can thus predict the cost using the regression model.