add_observation

The time master of the master clock and the time slave of the slave clock are added to the list of observations.

If enough observations are available, a linear regression algorithm is run on the observations and this is recalibrated.

If this functions returns true, r_squared will contain the correlation coefficient of the interpolation. A value of 1.0 means a perfect regression was performed. This value can be used to control the sampling frequency of the master and slave clocks.

Parameters:

this	a Clock
slave	a time on the slave
master	a time on the master
r_squared	a pointer to hold the result

Returns:

true if enough observations were added to run the regression algorithm.