  A method to treat a N-component percolation model as effective one component
model is presented by introducing a scaled control variable $p_{+}$. In Monte
Carlo simulations on $16^{3}$, $32^{3}$, $64^{3}$ and $128^{3}$ simple cubic
lattices the percolation threshold in terms of $p_{+}$ is determined for N=2.
Phase transitions are reported in two limits for the bond existence
probabilities $p_{=}$ and $p_{\neq}$. In the same limits, empirical formulas
for the percolation threshold $p_{+}^{c}$ as function of one
component-concentration, $f_{b}$, are proposed. In the limit $p_{=} = 0$ a new
site percolation threshold, $f_{b}^{c} \simeq 0.145$, is reported.
