Projects a new observation onto the spline representation of the local principal curve.
Usage
lpc.project(object, newdata, ...)
Arguments
object
Object of class lpc or lpc.spline.
newdata
A data frame containing the new data to be projected.
...
Additional arguments to be passed to lpc.project.spline.
Value
closest.piProjection index of projected point(s) (in cubic spline parametrization).
closest.or.piProjection index of projected point(s) (in terms of the original LPC parametrization).
closest.coordsCoordinates of projected data point(s)
closest.distEuclidean distance between data point(s) and their projected counterpart(s).
closest.branchID of branch onto which the data point was
projected (the IDs get allocated in the output component
$Parametrization of function lpc).
References
Einbeck, J., Evers, L. & Hinchliff, K. (2010): Data compression and regression based on local principal curves. In A. Fink, B. Lausen, W. Seidel, and A. Ultsch (Eds), Advances in Data Analysis, Data Handling, and Business Intelligence, Heidelberg, pp. 701--712, Springer.