Constrained Regression with Intercept in pcls
Dear all, I already asked about to run a constrained regression like y=b0 + b1X1+b2x2+b3x3, with constraints: b1+b2+b3=1 and b1,b2,b3>=0. I thought it will run with style.QPfit with the performance Analytic packages. However the style.QPfit function does not estimate an intercept. As i really can not extend this function for my problem, I noticed pcls. Pcls is maybe an alternative for my problem. Can somebody help me to implement the constraints in pcls. Maybe it can be done by designing a designed matrix X with extra column for the inercept (b0) and to force C in a way. But how I do not know. Your help is greatly appreciated Philipp -- View this message in context: http://r.789695.n4.nabble.com/Constrained-Regression-with-Intercept-in-pcls-tp4129187p4129187.html Sent from the Rmetrics mailing list archive at Nabble.com.