see also toms/642.
Natural B-spline data smoothing subroutine, using the Generalized Cross- Validation and Mean-Squared Prediction Error Criteria of Craven & Wahba (1979). Alternatively, the amount of smoothing can be given explicitly, or it can be based on the effective number of degrees of freedom in the smoothing process as defined by Wahba (1980). The model assumes uncorrelated, additive noise and essentially smooth, underlying functions. The noise may be non-stationary, and the independent co-ordinates may be spaced non-equidistantly. Multiple datasets, with common independent variables and weight factors are accomodated. A full description of the package is provided in: H.J. Woltring (1986), A FORTRAN package for generalized, cross-validatory spline smoothing and differentiation. Advances in Engineering Software 8(2):104-113
Uses: dcopy dasum dqrsl dtrco dtrsl ddot dswap dqrdc dchdc dsvdc from linpack and the blas.
Eric and Jack
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