Princurve

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1.110

* BENCHMARKING: For larger data sets, most of the time is spent in `get.lam()`.

* BUG FIX: `smooth.spline(x,y)` will only use *and* return values for
"unique" {x}:s. This means that the fitted {y}:s maybe be fewer than
the input vector. In order to control for this, we use `predict()`.

* NEW FEATURE: Now `smoother` can also be a function taking arguments
`lambda`, `xj` and `...` and return `y` of the same length
as `lambda` and `xj`.

* NEW FEATURE `principal.curve()`: Arguments `start` and `stretch`
can be NULL, which behaves the same as if they are "missing"
[which is hard to emulate with for instance `do.call()`].

* NEW FEATURE: Added `converged` and `nbrOfIterations` to return structure.

* SPEED UP/MEMORY OPTIMIZATION: Now the nxp matrix 's' is allocated only
once. Before it was built up using cbind() once per iteration.

* SPEED UP: Now the smoother function is identified/created before
starting the algorithm, and not once per dimension and iteration.

* MEMORY OPTIMISATION `principal.curve()`: Now the result matrix
allocated as doubles, not logicals (as NA is), in order to
prevent a coersion.

* BUG FIX: An error was thrown if `smoother` was a function.

* MINOR CHANGES: Cleaned up source code (removed comments).

1.19

* MINOR CHANGE: Clarify license.

1.18

* MINOR CHANGE: Update license and add depending packages.

1.17

* MINOR CHANGE: Depend on R >= 1.9.0

* MINOR CHANGE: Changed license to GPL version 2 or newer,
as granted by Trevor Hastie.

* MINOR CHANGE: Don't require defunct `modreg`.

1.16

* MINOR CHANGE: Removed INDEX.

1.15

* MINOR CHANGE: Added `PACKAGE` to Fortran calls.

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