Generate the linear regression model data with break points
lm.sim.break(
nobs,
px,
cnst = NULL,
phi = NULL,
sigma,
sigma_x = 1,
brk = nobs + 1
)number of time points
the number of features
the constant
parameter coefficient matrix of the linear model
covariance matrix of the white noise
variance of the predictor variable x
vector of break points
A list object, which contains the followings
matrix of response data
matrix of predictor data
matrix of white noise error