DirectLiNGAM_regress <- function(X){
time = proc.time()
K = c() #1
U = 1:ncol(X) #2
X = normalizeData(X) #3
Cov = cov(X) #4
X0 = X
Cov0 = Cov
repeat{ #11
root = FindRoot(X,U,Cov) #6
K = c(K,root) #7
U = U[-which(U==root)] #8
if (length(U)==0){
break
}
X = UpdateData(X,U,Cov,root) #9
Cov = UpdateCovMat(U,Cov,root) #10
}
time = (proc.time()-time)[3]
B_ols = OLS_LiNGAM(X0[,K],Cov0[K,K])
B_lasso = adaptive_lasso(X0[,K],B_ols)
oK = order(K)
return(list(K = K[oK],B = B_lasso[oK,oK], E = X, X=X0, time = time)) #output
}
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