[R] Translation of Linear minimization probelm from matlab to r

[Haio]

Hi everyone, i´m a new user of R and i´m trying to translate an linear
optimization problem from Matlab into r.

The matlab code is as follow:
 options = optimset('Diagnostics','on');

 [x fval exitflag] = linprog(f,A,b,Aeq,beq,lb,ub,[],options);

 exitflag
 fval
 x=round(x);
 Where:
f = Linear objective function vector (vector of 45,rows) 
A = Matrix for linear inequality constraints (3colums 45 rows matrix)
b = Vector for linear inequality constraints (3 rows vector)
Aeq = Matrix for linear equality constraints (45 colums, 8 rows )
beq = Vector for linear equality constraints (8 rows vector)
lb      =Vector of lower bounds (45 rows)
ub  =   Vector of upper bounds (45 rows)

I have tryed the package "linprog"   although i can´t find anyway to include
the linear inequality constraints into the "solveLP" function. 
Can anyone please help me?

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