Least Squares
If you prefer a least squares approximant, you can obtain it
by the statement
sp = spap2(knots,k,x,y);
in which both the knot sequence knots and
the order k of the spline must be provided.
The popular choice for the order is 4, and that gives you a
cubic spline. If you have no clear idea of how to choose the knots,
simply specify the number of polynomial pieces you want used. For
example,
sp = spap2(3,4,x,y);
gives a cubic spline consisting of three polynomial pieces.
If the resulting error is uneven, you might try for a better knot
distribution by using newknt as
follows:
sp = spap2(newknt(sp),4,x,y);
 | Smoothing | | Using the Spline Fits |  |
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