Projects a new observation onto the spline representation of the local principal curve.
Usage
lpc.project(object, newdata, ...)
Value
closest.pi
Projection index of projected point(s) (in cubic spline parametrization).
closest.or.pi
Projection index of projected point(s) (in terms of the original LPC parametrization).
closest.coords
Coordinates of projected data point(s)
closest.dist
Euclidean distance between data point(s) and their projected counterpart(s).
closest.branch
ID of branch onto which the data point was
projected (the IDs get allocated in the output component
$Parametrization of function lpc).
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.
Author
J. Einbeck and L. Evers
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.