| EX4.STOCKPREDICT {regclass} | R Documentation |
Stock data for Exercise 2 in Chapter 4 (prediction set)
Description
Stock data for Exercise 2 in Chapter 4 (prediction set)
Usage
data("EX4.STOCKPREDICT")
Format
A data frame with 5 observations on the following 40 variables.
AAPLlag2a numeric vector
AXPlag2a numeric vector
BAlag2a numeric vector
BAClag2a numeric vector
CATlag2a numeric vector
CSCOlag2a numeric vector
CVXlag2a numeric vector
DDlag2a numeric vector
DISlag2a numeric vector
GElag2a numeric vector
HDlag2a numeric vector
HPQlag2a numeric vector
IBMlag2a numeric vector
INTClag2a numeric vector
JNJlag2a numeric vector
JPMlag2a numeric vector
KOlag2a numeric vector
MCDlag2a numeric vector
MMMlag2a numeric vector
MRKlag2a numeric vector
MSFTlag2a numeric vector
PFElag2a numeric vector
PGlag2a numeric vector
Tlag2a numeric vector
TRVlag2a numeric vector
UNHlag2a numeric vector
VZlag2a numeric vector
WMTlag2a numeric vector
XOMlag2a numeric vector
Australialag2a numeric vector
Copperlag2a numeric vector
DollarIndexlag2a numeric vector
Europelag2a numeric vector
Exchangelag2a numeric vector
GlobalDowlag2a numeric vector
HongKonglag2a numeric vector
Indialag2a numeric vector
Japanlag2a numeric vector
Oillag2a numeric vector
Shanghailag2a numeric vector
Details
The data frame for which you are to predict the closing price of Alcoa stock based on the model built using EX4.STOCKS. The actual closing prices are not given.