[R] FW: lasso regression

[Heiman, Thomas J.]

Hi,

Hopefully I got the formatting down.. I am trying to do a lasso regression using the lars package with the following data (the data files is in .csv format):

	V1		V2		V3			V4			V5		V6		V7		V8		V9
1	FastestTime	WinPercentage	PlacePercentage	ShowPercentage	BreakAverage	FinishAverage	Time7Average	Time3Average	Finish
2	116.9		0.14285715	0.14285715		0.2857143		4.428571	3.2857144	117.557144	117.76667	5.0
3	116.22857	0.2857143	0.42857143		0.14285715		6.142857	2.142857	116.84286	116.8		2.0
4	116.41428	0.0		0.14285715		0.2857143		5.714286	3.7142856	117.24286	117.166664	4.0
5	115.8		0.5714286	0.0			0.2857143		2.142857	2.5714285	116.21429	116.53333	6.0

#load Data
crs<- read.csv("file:///C:/temp/Horse//horseracing.csv<file:///C:\temp\Horse\horseracing.csv>", na.strings=c(",", "NA", "", "?"), encoding="UTF-8")

#    # define x and y
x= x<-crs[,9]    #predictor variables
y= y<-crs[1:8,]  #response variable


library(lars)
cv.lars(x, y, K=10, trace=TRUE, plot.it = TRUE,se = TRUE, type="lasso")

and I get:

LASSO sequence
Error in one %*% x : requires numeric/complex matrix/vector arguments

Any idea on what I am doing wrong?  Thank you!!

Sincerely,

tom