search for: linhyp

...summary(mult) library(car) P <- cbind( c(-1,1,0,0,0,0,0), c(-3,-3,6,6,-3,-3,0), c(0,0,2,0,-1,-1,0), c(0,0,-1,0,1,0,0)) P [,1] [,2] [,3] [1,] -1 -3 0 [2,] 1 -3 0 [3,] 0 6 2 [4,] 0 6 0 [5,] 0 -3 -1 [6,] 0 -3 -1 [7,] 0 0 0 summary(mult) linhyp=linear.hypothesis(mult, "x", P=P) linhyp Response transformation matrix: [,1] [,2] [,3] [,4] [1,] -1 -3 0 0 [2,] 1 -3 0 0 [3,] 0 6 2 -1 [4,] 0 6 0 0 [5,] 0 -3 -1 1 [6,] 0 -3 -1 0 [7,] 0 0 0 0 Sum of squar...

...d 1 explanatory variable. The following matrix P: P <- cbind( c(1,-1,0,0,0,0,0), c(2,2,2,2,2,-5,-5), c(1,0,0,-1,0,0,0), c(-2,-2,0,-2,2,2,2), c(-2,1,0,1,0,0,0), c(0,-1,0,1,0,0,0)) should consist of orthogonal elements (as can be shown using %*% on the individual columns). However, when I use linhyp=linear.hypothesis(model, "explanatory.variable", P=P) I get an error saying Error in linear.hypothesis.mlm(mult1, "logdiv", P = P) : The error SSP matrix is apparently of deficient rank = 4 < 6 Which I interpret as there are too many non-zero rows in the matrix, P. Is tha...