Automate script to run linear regression R -


i looking run linear regression on below data frame. 

test<-data.frame(abc=c(2.4,3.2,8.9,9.8,10.0,3.2,5.4),              city1_0=c(5.3,2.6,3,5.4,7.8,4.4,5.5),              city1_1=c(2.3,5.6,3,2.4,3.6,2.4,6.5),              city1_2=c(4.2,1.4,2.6,2,6,3.6,2.4),              city1_3=c(2.4,2.6,9.4,4.6,2.5,1.2,7.5),              city1_4=c(8.2,4.2,7.6,3.4,1.7,5.2,9.7),              city2_0=c(4.3,8.6,6,3.7,7.8,4.7,5.8),                               city2_1=c(5.3,2.6,3,5.4,7.8,4.4,5.5))

dataframe "test" sample of data. original data frame contains 100 columns. want create script predicting values using linear regression. in case, want build many models different input variables.

for example, in given dataframe, abc y variable. want build 1 model city1_1,city1_2,city1_3,city1_4 (leaving city1_0, city2_0). other model city1_2,city1_3,city1_4 (leaving city1_0,city1_1,city2_0,city2_1) , 3rd model input variable city1_3,city1_4 (leaving city1_0,city1_1,city1_2,city2_0,city2_1), , on.

these variables input linear regression.

this have 40 dataframes. o/p variable name remains same every dataframe.


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