Input variables:     <Orange.feature.Continuous 'X1', Orange.feature.Continuous 'X2', Orange.feature.Continuous 'X3'>
Response variables:  <Orange.feature.Continuous 'Y1', Orange.feature.Continuous 'Y2', Orange.feature.Continuous 'Y3', Orange.feature.Continuous 'Y4'>
Prediction for the first 2 data instances: 

Actual     [<orange.Value 'Y1'='0.490'>, <orange.Value 'Y2'='1.237'>, <orange.Value 'Y3'='1.808'>, <orange.Value 'Y4'='0.422'>]
Predicted  [<orange.Value 'Y1'='0.613'>, <orange.Value 'Y2'='0.826'>, <orange.Value 'Y3'='1.084'>, <orange.Value 'Y4'='0.534'>]

Actual     [<orange.Value 'Y1'='0.167'>, <orange.Value 'Y2'='-0.664'>, <orange.Value 'Y3'='-1.378'>, <orange.Value 'Y4'='0.589'>]
Predicted  [<orange.Value 'Y1'='0.058'>, <orange.Value 'Y2'='-0.706'>, <orange.Value 'Y3'='-1.420'>, <orange.Value 'Y4'='0.599'>]

Regression coefficients:
                   Y1           Y2           Y3           Y4
      X1        0.714        2.153        3.590       -0.078 
      X2       -0.238       -2.500       -4.797       -0.036 
      X3        0.230       -0.314       -0.880       -0.060 
