LinearRegressino     

Library to calculate linear regression in arduino ( Better use Regressino a new library with linear regression and more )

Create

LinearRegression lr = LinearRegression();

LinearRegression lr = LinearRegression(0,100);

Methods

LinearRegression();  

Initializes object

LinearRegression(int min, int max);  

Initializes the object with limits to the value of X

• min: min value of X
• max: max value of X

void learn(int x, int y);  

Learns one example.

• x: value of X
• y: value of Y

double calculate(int x);  

Estimates value of Y for X

• x: value of x

double correlation();  

Return actual correlation value

void reset();  

Reset values. Start learning since zero.

void getValues(double values[]);

Returns parameters of the linear regression

• values[0] = m;
• values[1] = b;
• values[2] = n;

Y = m*X + b

n is the number of examples