Examples of org.apache.commons.math.stat.regression.SimpleRegression.predict()

Package org.apache.commons.math.stat.regression

Class org.apache.commons.math.stat.regression.SimpleRegression

Examples of org.apache.commons.math.stat.regression.SimpleRegression.predict()

org.apache.commons.math.stat.regression.SimpleRegression.predict()
Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
predict(x) = intercept + slope * x

Preconditions:
- At least two observations (with at least two different x values) must have been added before invoking this method. If this method is invoked before a model can be estimated, Double,NaN is returned.
@param x input x value @return predicted y value

        SimpleRegression regression = new SimpleRegression();
        regression.addData(point1.RT, point1.RT2);
        regression.addData(point2.RT, point2.RT2);
        double rt = point1.RT + 1;
        while (rt < point2.RT) {
          RTs newPoint = new RTs(rt, regression.predict(rt));
          list.add(newPoint);
          rt++;
        }


      }

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        SimpleRegression regression = new SimpleRegression();
        regression.addData(point1.RT, point1.RT2);
        regression.addData(point2.RT, point2.RT2);
        double rt = point1.RT + 1;
        while (rt < point2.RT) {
          RTs newPoint = new RTs(rt, regression.predict(rt));
          list.add(newPoint);
          rt++;
        }


      }

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