This simulates a cross object with 3 phenotypes where y1 has a causal effect
on both y2 and y3. See vignette for details.
1 2 3  | SimCrossCausal(n.ind, len, n.mar, beta, add.eff, dom.eff, sig2.1 = 1,
  sig2.2 = 1, eq.spacing = FALSE, cross.type = c("bc", "f2"),
  normalize = FALSE)
 | 
n.ind | 
 number of individuals  | 
len | 
 length(s) of chromosome(s)  | 
n.mar | 
 markers per chromosome  | 
beta | 
 causal effect(s) (slope(s)) of y1 on the other phenotypes  | 
add.eff, dom.eff | 
 additive and dominance effects  | 
eq.spacing | 
 use equal marker spacing if   | 
cross.type | 
 cross type (only "bc" and "f2" implemented)  | 
normalize | 
 use normal scores if   | 
sig.1, sig.2 | 
 residual variances for y1 and other responses  | 
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