OpenMS  2.7.0
LinearRegressionWithoutIntercept.h
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31 // $Maintainer: Lars Nilse $
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34 
35 #pragma once
36 
38 
39 #include <cmath>
40 #include <vector>
41 
42 namespace OpenMS
43 {
44  namespace Math
45  {
52  {
53  public:
54 
57 
64  void addData(double x, double y);
65 
72  void addData(std::vector<double>& x, std::vector<double>& y);
73 
77  double getSlope();
78 
79  private:
83  double sum_xx_;
84 
88  double sum_xy_;
89 
93  int n_;
94 
95  };
96 
97  } // namespace Math
98 } // namespace OpenMS
99 
100 
This class offers functions to perform least-squares fits to a straight line model,...
Definition: LinearRegressionWithoutIntercept.h:52
double getSlope()
returns the slope of the estimated regression line.
double sum_xy_
sum of products
Definition: LinearRegressionWithoutIntercept.h:88
double sum_xx_
total variation in x
Definition: LinearRegressionWithoutIntercept.h:83
int n_
number of observations
Definition: LinearRegressionWithoutIntercept.h:93
void addData(double x, double y)
adds an observation (x,y) to the regression data set.
void addData(std::vector< double > &x, std::vector< double > &y)
adds observations (x,y) to the regression data set.
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47