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Hi, I am using solve.QP (from quadprog) to solve a standard quadratic programming problem: min_w -0.5*w'Qw st ... I would like solve.QP to do two things: 1) to start the optimization from a user-supplied initial condition; i.e., from a vector w_0 that satisfies the constraints, and 2) to return the values of the lagrange multiplieres associated with the constraints. I did not find an obvious way in help(solve.QP). Any thoughts? Thanks. Jorge [[alternative HTML version deleted]]

Hi, I'm looking for an "easy" way to setup a decision tree. This is *not* any kind of regression, but a very simple DAG with probability on each edge and a value at each node. I just need a way to input the graph and calculate the expected value at each end node. The whole thing could be done with a calculator and pencil, but it would be nice to have everything in R. I can't