# [R] FW: lasso regression

Heiman, Thomas J. theiman at mitre.org
Tue Jul 12 15:50:30 CEST 2011

```Hi,

I am trying to do a lasso regression using the lars package with the following data (see attached):

FastestTime

WinPercentage

PlacePercentage

ShowPercentage

BreakAverage

FinishAverage

Time7Average

Time3Average

Finish

116.90

0.14

0.14

0.29

4.43

3.29

117.56

117.77

5.00

116.23

0.29

0.43

0.14

6.14

2.14

116.84

116.80

2.00

116.41

0.00

0.14

0.29

5.71

3.71

117.24

117.17

4.00

115.80

0.57

0.00

0.29

2.14

2.57

116.21

116.53

6.00

117.76

0.14

0.14

0.43

5.43

3.57

118.57

118.87

3.00

117.69

0.14

0.14

0.00

4.71

4.00

118.69

118.60

6.00

116.46

0.14

0.00

0.00

5.14

5.00

118.50

118.97

5.00

119.77

0.00

0.00

0.14

4.57

4.14

120.74

121.03

4.00

116.81

0.14

0.29

0.00

4.86

3.57

117.63

117.40

5.00

117.66

0.14

0.14

0.14

4.57

4.71

119.19

120.57

7.00

#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

```

More information about the R-help mailing list