Simulated data y=X1 \* beta1 + Z2 \* beta2 + epsilon where beta1=c(3,2,0,0,1.5,0,...) qnd beta2 = c(0,...,1.5,0,0,2,3). X1 is uncorrupted while Z2 is corrupted with additive error
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this data frame has 10000 rows and the following 200 columns:
the response
180 first columns are uncorrupted covariates
20 last columns are the corrupted covariates with additive error
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