airpc


These data list the first two principal component scores from the
aircraft data, which record six characteristics of aircraft designs 
throughout the twentieth century.<p></p><p>The variables are:
<table><tr><td>
	<code>Comp.1:</code> </td>
</tr><tr><td>  first principal component score </td>
</tr><tr><td>
	<code>Comp.2:</code> </td>
</tr><tr><td>  second principal component score </td>
</tr><tr><td>
	<code>Yr:</code>     </td>
</tr><tr><td>  year of first manufacture </td>
</tr></table></p><p>The data were collected by P. Saviotti and are described in detail
	in Saviotti (1996), "Technological Evolution, Variety and Economy",
	Edward Elgar: Cheltenham.
</p>

regression

smooth

This is software linked to the book
'Applied Smoothing Techniques for Data Analysis -
The Kernel Approach with S-Plus Illustrations' Oxford University Press.

Adrian Bowman

Smoothing methods for nonparametric regression and density
estimation

airpc function

These data list the first two principal component scores from the
aircraft data, which record six characteristics of aircraft designs 
throughout the twentieth century

airpc: These data list the first two principal component scores from the aircraft data, which record six characteristics of aircraft designs throughout the twentieth century

Description

Arguments