Home Manual Packages Global Index Keywords Quick Reference | # functions in fitlsq.i - f
fitlsq |
                 yp= fitlsq(y, x, xp)
                 ...

    	    yfit= interp(yp, xp, xfit)
         performs a least squares fit to the data points (X, Y).  The input
         XP are the abcissas of the piecewise linear function passing through
         (XP, YP) which is the best fit to the data (X,Y) in a least squares
         sense.  The XP must be strictly monotone, either increasing or
         decreasing.  As for interp, the piecewise linear fit is taken to be
         constant outside the limits of the XP.
         The result YP is linearly interpolated through any consecutive
         intervals of XP which contain no data points X, and linearly
         extrapolated beyond the extreme values of X (if any of the intervals
         of XP lie outside these extremes).
         A WEIGHT keyword of the same length as X and Y may be supplied in
         order to weight the various data points differently; a typical
         WEIGHT function is 1/sigma^2 where sigma are the standard deviations
         associated with the Y values.

    interpreted function, defined at i/fitlsq.i   line 10
SEE ALSO: | interp