TITLE: Density of a set of integers
QUESTION [13 upvotes]: EDIT: this question of mine has received little attention, perhaps in part because it was stated in a too general and complicated way. So let me give it a second chance:

Fix an integer $r \geq 0$. Let $E_r(x)$ be the number of square free integers less than $x$ having exactly $r$ prime factors $p$ congruent to $2 \pmod{3}$ (and an arbitrary number of other prime factors). What is the order of magnitude of $E_r(x)$ when $x$ goes to $\infty$ ?

When $r=0$, one has $E_0(x) \asymp x/\log^{1/2}(x)$ (see below). Even when $r=1$,
I don't know the answer, or a lower bound for $E_1(x)$ that is better than this one for $E_0(x)$. Thanks for any
idea or reference pointing to a method that can be used to solve this question.
ORIGINAL POST FOLLOWS:
I begin by quoting a theorem found in Serre's paper "divisibilité de certaines functions
arithmétiques", with a proof attributed  to Raikov, Winter, Delange (theorème 2.4 - I have slightly changed and simplified the statement, as the $E$ here is the complement $E'$ of $E$ in Serre's paper.).
Let $E$ be a set of integers satisfying the following condition :
(MM) For $n,m$ relatively prime integers, $nm \in E$ if and only if $n \in E$ and $m \in E$, 
Let $P$ be the set of primes that are in $E$. Assume that $P$ has analytic density $\alpha > 0$. Let $E(x)$ the number of elements of $E$ less than $x$. Then when $x$ goes to infinity,
$$E(x) \sim c x /\log^\{1-\alpha}(x)$$ for some constant $c>0$.   
Example: Let $P$ be a set of primes of density $\alpha>0$, $E$ the set of square-free 
integers whose prime factors are all in $P$. Then $E$ satisfies the hypothesis (MM).
So does $F=$ the set of all integer who's prime factors are all in $P$. Both satisfies
the conclusion of the theorem, though with a different constant $c$.
Now let $P,E$ be as above, and let $r \geq 0$ be an integer. Let $E_r$ be the set of integers that are products of an element of $E$ and exactly $r$ distinct prime not in $P$. My question is:
What is an order of magnitude of $E_r(x)$ ?
The case $r=0$ is the theorem above, and I suppose the answer for $r>0$
does only depend on $P$, not on $E$, as for $r=0$. But in case it is not true, or in case that helps, the case of interest for me is the case where $E$ is as in the example.
So if I may reformulate my question in this special case: if $P$ is a set of prime of density $\alpha>0$, and $E$ is the set of square-free integers which are product
of $r$ primes  not in $P$ and arbitrary number of primes in $P$, what is the order of magnitude of $E_r(x)$?
A word on my motivation, which turns around the beautiful aforementioned paper of Serre.
Consider for example the modular form $\Delta$, modulo $3$. if $E$ is the set of $n$ such that the $n$-th coefficient of that form is non-zero, that is such that $3 \nmid \tau(n)$, then $E$ satisfies (MM), $P$ is the set of primes congruent to $1$ modulo $3$, and $E(x) \sim cx log^{1/2}(x)$.
This is in Serre, as $\Delta$ is an eigenform. Noe consider $\Delta^2$ modulo $3$ which is not an eigenform, and let $F$ the set of $n$-th coefficient of that form is non-zero. Then it is easy to see that $F$ contains $E_1$ (and I think, is not too much bigger than $E_1$).

REPLY [4 votes]: I just wanted to add, we also have a similar upper bound which combined with unknown(google)'s answer shows that 
$$E_{r}(x)\asymp\frac{x\left(\log\log x\right)^{r}}{\left(\log x\right)^{\frac{1}{2}}}.$$
The above is almost certainly an asymptotic, and we can likely derive the explicit constant, but that would require a lot of calculation.
Upper bound:
Let $\mathcal{A}=\left\{ n\in\mathbb{N}:\ p|n\Rightarrow p\equiv2\ (3)\right\}$   and let $\mathcal{B}=\left\{ n\in\mathbb{N}:\ p|n\Rightarrow p\equiv1\ (3)\right\}.$ Then 
$$E_{r}(x)=\sum_{\begin{array}{c}
n\leq x\\
n\in\mathcal{A}\\
\mu^{2}(n)=1,\omega(n)=r
\end{array}}\sum_{\begin{array}{c}
m\leq\frac{x}{n}\\
m\in\mathcal{B}\\
\mu(m)^{2}=1
\end{array}}1.$$ 
We then have the upper bound
$$E_{r}(x)\ll\sum_{\begin{array}{c}
n\leq x\\
\omega(n)=r
\end{array}}\sum_{\begin{array}{c}
m\leq\frac{x}{n}\\
m\in\mathcal{B}
\end{array}}1.$$ 
Carefully managing the sums, oone can then show that this is 
$$\ll\frac{x}{\sqrt{\log x}}\sum_{\begin{array}{c}
n\leq x\\
\omega(n)=r
\end{array}}\frac{1}{n}\ll\frac{x\left(\log\log x\right)^{r}}{\left(\log x\right)^{\frac{1}{2}}}. $$