This avoids counted obvious true neighbors which are those points following or preceding the point of interest. The default value should be accepted unless you have good reason to prefer another value. The comparison is with where is a parameter set by the user , and is the nominal, usual RMS, size of the attractor. Max D is the maximum dimension in which to evaluate the quality of predictions. It is called above.
Neighbors tells the algorithm how many neighbors to use in creating the predictions.
It is set quite high at the outset of the execution of the program and adjusted downward to the values needed as the program moves along. Don't change this unless you have pretty good reason. There are several options which one can select now by clicking on radio buttons. One may ask the local false nearest neighbors to run forwards or backwards through the data. Both should give the same answer and provide a consistency check on the computations.